Triple
T32294488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Haas |
E825049
|
entity |
| Predicate | coachOfCareerStage |
P2169
|
FINISHED |
| Object | coached by Nick Bollettieri in youth |
—
|
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: coached by Nick Bollettieri in youth | Statement: [Tommy Haas, coachOfCareerStage, coached by Nick Bollettieri in youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachOfCareerStage Context triple: [Tommy Haas, coachOfCareerStage, coached by Nick Bollettieri in youth]
-
A.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
C.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
D.
coachMilestone
Indicates that a coach has reached or achieved a specific milestone or notable point in their coaching career or tenure.
-
E.
coachedStarPlayer
Indicates that one entity served as the coach or trainer of another entity who is considered a star player.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:44 a.m.