Triple
T4659722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Adelman |
E102498
|
entity |
| Predicate | coachedTeamType |
P29493
|
FINISHED |
| Object | NBA team |
—
|
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: NBA team | Statement: [Rick Adelman, coachedTeamType, NBA team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedTeamType Context triple: [Rick Adelman, coachedTeamType, NBA team]
-
A.
teamTypeCoached
chosen
Indicates the type or category of team that an individual has coached.
-
B.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
C.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
-
D.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
E.
teamCoachedFrom
Indicates that a coaching relationship exists where a coach is responsible for training or managing a team originating from a specific organization, location, or context.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6328387c81909a500e694a739e6e |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.