Triple
T20361161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slackers |
E496782
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jamie 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: Jamie King | Statement: [Slackers, castMember, Jamie King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie King Context triple: [Slackers, castMember, Jamie King]
-
A.
Jamie King
Jamie King is an American actress and former fashion model known for her roles in films like "Sin City" and the TV series "Hart of Dixie."
-
B.
Jamie King
chosen
Jamie King is a renowned American creative director and choreographer best known for staging major pop star tours and high-profile live performances.
-
C.
Jamie King
Jamie King is a video game executive and producer best known as one of the co-founders of Rockstar Games, the company behind the Grand Theft Auto series.
-
D.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
E.
Laura King
Laura King is the sister of British singer and former The Saturdays member Mollie King.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.