Triple
T4003227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Brown |
E89461
|
entity |
| Predicate | coachedTeamTo |
P24181
|
FINISHED |
| Object | 2007 NBA Finals with the Cleveland Cavaliers |
—
|
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: 2007 NBA Finals with the Cleveland Cavaliers | Statement: [Mike Brown, coachedTeamTo, 2007 NBA Finals with the Cleveland Cavaliers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedTeamTo Context triple: [Mike Brown, coachedTeamTo, 2007 NBA Finals with the Cleveland Cavaliers]
-
A.
coachingTeam
chosen
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
B.
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.
-
C.
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.
-
D.
teamTypeCoached
Indicates the type or category of team that an individual has coached.
-
E.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.