Triple
T8634429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLVI halftime show |
E204484
|
entity |
| Predicate | hasChoreographer |
P12049
|
FINISHED |
| Object | Jamie King |
E747671
|
NE 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: Jamie King | Statement: [Super Bowl XLVI halftime show, hasChoreographer, Jamie King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie King Context triple: [Super Bowl XLVI halftime show, hasChoreographer, Jamie King]
-
A.
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.
-
B.
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."
-
C.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
D.
Nicole King
Nicole King is a film producer known for her work on the family comedy movie "Yes Day."
-
E.
Caitlyn Bairstow
Caitlyn Bairstow is a Canadian voice actress known for her work in animated television series, films, and video games.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc475fb9dc8190bd0d6e5edd05ea79 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecca2a3e48190b74ed3c948196409 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:27 p.m.