Triple
T20472080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 33 |
E502217
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mike Medavoy |
—
|
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: Mike Medavoy | Statement: [The 33, producer, Mike Medavoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Medavoy Context triple: [The 33, producer, Mike Medavoy]
-
A.
Mike Medavoy
chosen
Mike Medavoy is an American film producer and studio executive known for backing numerous acclaimed and influential Hollywood films.
-
B.
Greg Medavoy
Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
-
C.
Michael Aaron Seaver
Michael Aaron Seaver is the full given name of Mike Seaver, the fictional teenage son from the 1980s American sitcom "Growing Pains."
-
D.
Michael Dilbeck
Michael Dilbeck is a film producer best known for his work on the comedy movie "Meet Wally Sparks."
-
E.
Mike Montemerlo
Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.