Triple
T7909868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sneaky Pete |
E183668
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Michael Dinner |
E574084
|
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 Dinner | Statement: [Sneaky Pete, executiveProducer, Michael Dinner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Dinner Context triple: [Sneaky Pete, executiveProducer, Michael Dinner]
-
A.
Michael Dinner
chosen
Michael Dinner is an American television director, producer, and writer known for his work on numerous acclaimed TV series.
-
B.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
C.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
-
D.
Michael David
Michael David is a theatrical producer best known for his work on the hit Broadway musical comedy "Spamalot."
-
E.
Michael David
Michael David is an actor known for his role in the classic 1958 film "The Inn of the Sixth Happiness."
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd54f548190916bf00852f37224 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:04 p.m.