Triple
T17242483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie House |
E418534
|
entity |
| Predicate | collegeScoringReputation |
P126523
|
FINISHED |
| Object | prolific scorer at Arizona State University |
—
|
LITERAL 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: prolific scorer at Arizona State University | Statement: [Eddie House, collegeScoringReputation, prolific scorer at Arizona State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeScoringReputation Context triple: [Eddie House, collegeScoringReputation, prolific scorer at Arizona State University]
-
A.
collegeRecognition
Indicates that a college formally acknowledges, honors, or grants status or distinction to an entity.
-
B.
collegeScoringRecord
Indicates that an entity holds or represents a record for scoring performance achieved during college-level competition.
-
C.
apexInstitution
Indicates that an institution holds the highest or ultimate authority or status within a given organizational, administrative, or hierarchical structure.
-
D.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
E.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21003c81908c884a3c8712676a |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:39 a.m.