Triple
T10937619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronan O'Gara |
E258376
|
entity |
| Predicate | joinedRacingMetroAsCoach |
P10045
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Ronan O'Gara, joinedRacingMetroAsCoach, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedRacingMetroAsCoach Context triple: [Ronan O'Gara, joinedRacingMetroAsCoach, 2013]
-
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.
requiresCoach
Indicates that one entity depends on or must have the involvement, guidance, or supervision of a coach in order for an action, process, or state to occur or be valid.
-
D.
hasCoachedFor
chosen
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
E.
numberOfCoaches
Indicates the total count of coaches associated with a given entity 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b065288190b4216beee8e8a193 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.