Triple
T4874389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Green |
E109164
|
entity |
| Predicate | careerStartAsCoach |
P17026
|
FINISHED |
| Object | late 2000s |
—
|
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: late 2000s | Statement: [Travis Green, careerStartAsCoach, late 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStartAsCoach Context triple: [Travis Green, careerStartAsCoach, late 2000s]
-
A.
basedInAsCoach
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
B.
beganUnderCoach
Indicates that one entity started its activity, career, or involvement while being coached or supervised by another entity.
-
C.
coachingStart
chosen
Indicates the point in time when a coaching relationship or coaching session begins.
-
D.
usesCoachType
Indicates that an entity employs or operates a specific type or category of coach (e.g., vehicle or carriage) in its service or context.
-
E.
homeCoach
Indicates that a person serves as the coach of the home team in a particular game or competition.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.