Triple
T16144024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyronn Jamar Lue |
E391731
|
entity |
| Predicate | wonTitleAsHeadCoach |
P7572
|
FINISHED |
| Object | 2016 NBA Finals |
—
|
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: 2016 NBA Finals | Statement: [Tyronn Jamar Lue, wonTitleAsHeadCoach, 2016 NBA Finals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonTitleAsHeadCoach Context triple: [Tyronn Jamar Lue, wonTitleAsHeadCoach, 2016 NBA Finals]
-
A.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
B.
succeededAsHeadCoachOf
Indicates that one person took over the role of head coach of a team or organization from another person.
-
C.
returnedAsHeadCoach
Indicates that an individual resumed a previous role as head coach of a team or organization after a period of absence.
-
D.
gamesWonAsHeadCoach
Indicates the number of games that an individual has won while serving in the role of head coach.
-
E.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.