Triple
T6124851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell University Department of Athletics and Physical Education |
E136569
|
entity |
| Predicate | manages |
P86
|
FINISHED |
| Object |
Cornell Big Red women’s cross country program
The Cornell Big Red women’s cross country program is the NCAA Division I women’s distance running team representing Cornell University in intercollegiate cross country competition.
|
E580851
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cornell Big Red women’s cross country program | Statement: [Cornell University Department of Athletics and Physical Education, manages, Cornell Big Red women’s cross country program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornell Big Red women’s cross country program Context triple: [Cornell University Department of Athletics and Physical Education, manages, Cornell Big Red women’s cross country program]
-
A.
Cornell Big Red men’s cross country
Cornell Big Red men’s cross country is the NCAA Division I collegiate distance running team representing Cornell University in intercollegiate cross country competition.
-
B.
Cornell Big Red track and field
Cornell Big Red track and field is the collegiate track and field program of Cornell University, competing in NCAA Division I and the Ivy League.
-
C.
Cornell Big Red women’s soccer program
The Cornell Big Red women’s soccer program is the NCAA Division I varsity women’s soccer team representing Cornell University in intercollegiate competition.
-
D.
Cornell Big Red women’s lacrosse
Cornell Big Red women’s lacrosse is the NCAA Division I women’s lacrosse program representing Cornell University, competing in the Ivy League and known for its strong academic-athletic tradition.
-
E.
Cornell Big Red women’s tennis program
The Cornell Big Red women’s tennis program is the varsity collegiate tennis team representing Cornell University in NCAA Division I competition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cornell Big Red women’s cross country program Triple: [Cornell University Department of Athletics and Physical Education, manages, Cornell Big Red women’s cross country program]
Generated description
The Cornell Big Red women’s cross country program is the NCAA Division I women’s distance running team representing Cornell University in intercollegiate cross country competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cornell Big Red women’s cross country program Target entity description: The Cornell Big Red women’s cross country program is the NCAA Division I women’s distance running team representing Cornell University in intercollegiate cross country competition.
-
A.
Cornell Big Red men’s cross country
Cornell Big Red men’s cross country is the NCAA Division I collegiate distance running team representing Cornell University in intercollegiate cross country competition.
-
B.
Cornell Big Red track and field
Cornell Big Red track and field is the collegiate track and field program of Cornell University, competing in NCAA Division I and the Ivy League.
-
C.
Cornell Big Red women’s soccer program
The Cornell Big Red women’s soccer program is the NCAA Division I varsity women’s soccer team representing Cornell University in intercollegiate competition.
-
D.
Cornell Big Red women’s lacrosse
Cornell Big Red women’s lacrosse is the NCAA Division I women’s lacrosse program representing Cornell University, competing in the Ivy League and known for its strong academic-athletic tradition.
-
E.
Cornell Big Red women’s tennis program
The Cornell Big Red women’s tennis program is the varsity collegiate tennis team representing Cornell University in NCAA Division I competition.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243bd199081909a96366cc39bf43e |
completed | March 24, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69c4fb66b8e8819090524d1ef12688a7 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc3065bc81908d95fbd3d4655c76 |
completed | March 26, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:14 p.m.