Triple
T17714977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam & Tommy |
E442171
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Dave Franco |
—
|
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: Dave Franco | Statement: [Pam & Tommy, executiveProducer, Dave Franco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Franco Context triple: [Pam & Tommy, executiveProducer, Dave Franco]
-
A.
Dave Franco
chosen
Dave Franco is an American actor and filmmaker known for roles in films like "21 Jump Street," "Now You See Me," and "Neighbors."
-
B.
David Franco
David Franco is a cinematographer known for his work on the film "Boycott."
-
C.
Mattias Ferrell
Mattias Ferrell is one of the sons of American actor and comedian Will Ferrell.
-
D.
Tony Revolori
Tony Revolori is an American actor best known for his breakout role as Zero Moustafa in Wes Anderson’s film "The Grand Budapest Hotel" and for playing Flash Thompson in the Marvel Cinematic Universe Spider-Man films.
-
E.
Nicholas John Frost
Nicholas John Frost is an English actor, comedian, and writer best known for his collaborations with Simon Pegg in films such as "Shaun of the Dead," "Hot Fuzz," and "The World's End."
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.