Triple
T5752730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenberg |
E126889
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Dave Franco |
E247997
|
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: Dave Franco | Statement: [Greenberg, hasCastMember, Dave Franco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Franco Context triple: [Greenberg, hasCastMember, 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.
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.
-
C.
Ryan Reynolds
Ryan Reynolds is a Canadian-American actor and producer known for his charismatic performances and sharp comedic timing in films such as Deadpool, The Proposal, and Free Guy.
-
D.
Joe Manganiello
Joe Manganiello is an American actor known for roles in projects like "True Blood," "Magic Mike," and various action films.
-
E.
Aaron Taylor-Johnson
Aaron Taylor-Johnson is an English actor known for roles in films such as Kick-Ass, Avengers: Age of Ultron, and Nocturnal Animals.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.