Triple
T15972310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misty May-Treanor |
E387353
|
entity |
| Predicate | turnedProfessionalInSport |
P60386
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Misty May-Treanor, turnedProfessionalInSport, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedProfessionalInSport Context triple: [Misty May-Treanor, turnedProfessionalInSport, 1999]
-
A.
careerStartAsPlayer
chosen
Indicates the point in time or context when an individual began their professional career as a player.
-
B.
usedSportFor
Indicates that an entity employs or utilizes a particular sport as a means, tool, or context for achieving some purpose or performing an activity.
-
C.
hasPlayedProfessionalSports
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
D.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
E.
formerSport
Indicates that an entity previously played or participated in a particular sport but no longer does so.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.