Triple
T3069284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Worthy |
E62179
|
entity |
| Predicate | collegeJerseyRetiredNumber |
P41417
|
FINISHED |
| Object | 52 |
—
|
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: 52 | Statement: [James Worthy, collegeJerseyRetiredNumber, 52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeJerseyRetiredNumber Context triple: [James Worthy, collegeJerseyRetiredNumber, 52]
-
A.
leagueRetiredNumberBy
Indicates that a sports league has officially retired a specific jersey number in honor of a particular person or entity.
-
B.
retiredJerseyCollege
chosen
Indicates that a college has formally retired a particular jersey number, typically in honor of a former player or coach associated with that institution.
-
C.
jerseyNumber
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
-
D.
jerseyRetiredLeagueWide
Indicates that a player's jersey number has been officially retired across an entire league, preventing any team in that league from issuing it again.
-
E.
dateOfJerseyRetirement
Indicates the date on which a team officially retired an athlete’s jersey number.
- F. None of above.
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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.