Triple
T22862766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacey King |
E566967
|
entity |
| Predicate | playedProfessionalFrom |
P150010
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Stacey King, playedProfessionalFrom, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedProfessionalFrom Context triple: [Stacey King, playedProfessionalFrom, 1989]
-
A.
playsProfessional
Indicates that one entity participates in a sport, game, or performance at a professional level for compensation or as a primary occupation in relation to another entity (such as a team, league, or organization).
-
B.
playedAfter
Indicates that one event, performance, or action occurred later in time than another.
-
C.
playedFrom
Indicates that an action of playing (such as media playback or a performance) originated from a particular source or starting point.
-
D.
playedUnder
Indicates that one person participated as a player on a team or in a context where another person served as their coach or manager.
-
E.
playedWithout
Indicates that one participant engaged in a play-related activity while another expected or relevant participant was absent or not involved.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efdc3b08190be03d856aa86b277 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:38 p.m.