Triple
T17564906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidalgo |
E427785
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Casey Silver |
—
|
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: Casey Silver | Statement: [Hidalgo, producer, Casey Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Silver Context triple: [Hidalgo, producer, Casey Silver]
-
A.
Casey Silver
chosen
Casey Silver is an American film producer and former Universal Pictures chairman known for overseeing and producing a range of major Hollywood films.
-
B.
Casey Sander
Casey Sander is an American character actor best known for his television work, including a prominent role on the 1990s sitcom "Grace Under Fire."
-
C.
Casey Klein
Casey Klein is a struggling actress and comedian who works as a cater-waiter in the satirical television series "Party Down."
-
D.
Casey Robinson
Casey Robinson was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, including several celebrated Errol Flynn swashbucklers and romantic dramas.
-
E.
Casey Sherman
Casey Sherman is an American author and journalist known for his nonfiction works on historical events and true crime, including the book that inspired the film "The Finest Hours."
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.