Triple
T601266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Felton Russell |
E11497
|
entity |
| Predicate | NBAJerseyNumberLeaguewideRetired |
P2668
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [William Felton Russell, NBAJerseyNumberLeaguewideRetired, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAJerseyNumberLeaguewideRetired Context triple: [William Felton Russell, NBAJerseyNumberLeaguewideRetired, 6]
-
A.
leagueRetiredNumberBy
chosen
Indicates that a sports league has officially retired a specific jersey number in honor of a particular person or entity.
-
B.
jerseyNumber
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
-
C.
allowedNBAPlayersFrom
Indicates that certain NBA players are permitted or eligible to come from a specified source, such as a team, region, or category.
-
D.
NBAAllStarSelections
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
E.
NBAdebutYear
Indicates the year in which a person first played in an official NBA game.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.