Triple
T5166347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Turkey Awards |
E116566
|
entity |
| Predicate | workOf |
P4
|
FINISHED |
| Object | Michael Medved |
E500243
|
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: Michael Medved | Statement: [The Golden Turkey Awards, workOf, Michael Medved]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Medved Context triple: [The Golden Turkey Awards, workOf, Michael Medved]
-
A.
Michael Medved
chosen
Michael Medved is an American film critic, radio host, and author known for his conservative commentary and popular books on movies and culture.
-
B.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
-
C.
Jason Hart
Jason Hart is a former American professional basketball player who later became a college coach.
-
D.
Mike Savage
Mike Savage is a Canadian politician who has served as the mayor of Halifax, Nova Scotia.
-
E.
Max Borenstein
Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792c5ea88190b6aa0e519c744155 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee077effc8190bdd5771db64d1578 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:44 p.m.