Triple
T36821010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald Eugene Sloan |
E909882
|
entity |
| Predicate | numberOfNBAFinalsAppearancesAsHeadCoach |
P53901
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Gerald Eugene Sloan, numberOfNBAFinalsAppearancesAsHeadCoach, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNBAFinalsAppearancesAsHeadCoach Context triple: [Gerald Eugene Sloan, numberOfNBAFinalsAppearancesAsHeadCoach, 2]
-
A.
numberOfNBAChampionshipsAsHeadCoach
Indicates the count of NBA championship titles an individual has won while serving as a head coach.
-
B.
numberOfFinalFourAppearancesAsHeadCoach
Indicates the number of times an individual has reached the Final Four in a tournament while serving in the role of head coach.
-
C.
finalsAppearanceAsHeadCoach
chosen
Indicates that a person, in their role as head coach, led a team to appear in a championship finals series or game.
-
D.
gamesWonAsHeadCoach
Indicates the number of games that an individual has won while serving in the role of head coach.
-
E.
conferenceChampionshipsWonAsCoach
Indicates the number of conference championship titles an individual has won while serving in the role of coach.
- 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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.