Triple
T22862725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacey King |
E566967
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stacey King |
—
|
NE NERFINISHED |
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: Stacey King | Statement: [Stacey King, name, Stacey King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacey King Context triple: [Stacey King, name, Stacey King]
-
A.
Stacey King
chosen
Stacey King is a former American basketball player best known as an Oklahoma Sooners star and later a three-time NBA champion with the Chicago Bulls.
-
B.
Stacey Sutton
Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
-
C.
Stacey Colbert
Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
-
D.
Stacey Smith
Stacey Smith is known as the wife of English singer and musician Paul Young.
-
E.
Stacey Parks
Stacey Parks is a film and television producer known for her work on the pageant-themed drama "Miss Virginia."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 17, 2026, 3:38 p.m.