Triple
T14130273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky Balboa |
E340144
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kevin King |
E340144
|
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: Kevin King | Statement: [Rocky Balboa, producer, Kevin King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin King Context triple: [Rocky Balboa, producer, Kevin King]
-
A.
Kevin King
chosen
Kevin King is a film producer best known for his work on the 2006 sports drama "Rocky Balboa."
-
B.
Dave King
Dave King was an English comedian, singer, and character actor known for his work in film and television from the 1950s onward.
-
C.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
-
D.
Jeff King
Jeff King is a former American professional baseball player and infielder who played in Major League Baseball during the late 1980s and 1990s, primarily for the Pittsburgh Pirates and Kansas City Royals.
-
E.
Kevin Harkey
Kevin Harkey is an American animator and storyboard artist best known for his story work on Disney animated features, including the 1991 classic "Beauty and the Beast."
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4672bac8819085794c2554bd6e75 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 9, 2026, 10:23 p.m.