Triple
T7432955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrell Davis |
E171535
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Denver Broncos |
E29707
|
NE FINISHED |
How this triple was built (2 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: Denver Broncos | Statement: [Terrell Davis, memberOfSportsTeam, Denver Broncos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denver Broncos Context triple: [Terrell Davis, memberOfSportsTeam, Denver Broncos]
-
A.
Denver Broncos
chosen
The Denver Broncos are a professional American football franchise based in Denver, Colorado, competing in the National Football League and known for multiple Super Bowl appearances and championships.
-
B.
Broncos
Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
-
C.
Broncos
The Broncos are the intercollegiate athletic teams that represent Santa Clara University in NCAA sports.
-
D.
Broncos
The Broncos are the athletic teams representing California State Polytechnic University, Pomona in collegiate sports.
-
E.
Broncos
The Broncos are the athletic teams representing Boise State University, best known for their successful football program and iconic blue turf field.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f048e0c819080f51784e1099cac |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.