Triple
T49924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Russell |
E980
|
entity |
| Predicate | HallOfFameInduction |
P1750
|
FINISHED |
| Object | Naismith Memorial Basketball Hall of Fame player, 1975 |
—
|
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: Naismith Memorial Basketball Hall of Fame player, 1975 | Statement: [Bill Russell, HallOfFameInduction, Naismith Memorial Basketball Hall of Fame player, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HallOfFameInduction Context triple: [Bill Russell, HallOfFameInduction, Naismith Memorial Basketball Hall of Fame player, 1975]
-
A.
hallOfFamePlayer
chosen
Indicates that the subject is recognized as a member of a designated Hall of Fame.
-
B.
hallOfFameCoach
Indicates that a coach has been inducted into a recognized hall of fame for their coaching achievements.
-
C.
retiredNumberHonoree
Indicates that an entity is honored by having its jersey or identification number formally retired by a team or organization.
-
D.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
E.
hallOfFamePlayersCount
Indicates the number of players associated with an entity who have been inducted into a hall of fame.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b6c9eb88190b2fe85e427f4177a |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac0fb088190b7a5e87817e8e747 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.