Triple
T18641481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Mouratoglou |
E455696
|
entity |
| Predicate | beganCoachingSerenaWilliams |
P132501
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Patrick Mouratoglou, beganCoachingSerenaWilliams, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganCoachingSerenaWilliams Context triple: [Patrick Mouratoglou, beganCoachingSerenaWilliams, 2012]
-
A.
startedCoachingUSWNT
Indicates that a person began serving as the coach of the United States Women's National Soccer Team.
-
B.
beganUnderCoach
Indicates that one entity started its activity, career, or involvement while being coached or supervised by another entity.
-
C.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
-
D.
WTAdebutYear
Indicates the year in which a player first competed in a Women’s Tennis Association (WTA) event at the professional level.
-
E.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
- F. None of above. chosen
Provenance (4 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fccafec8190a340356d5bbd3cdf |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e485f5d1588190b44f31cbc54c0a9d |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 11:47 a.m.