Triple
T10316711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Blow Your Horn |
E242034
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Tony Bill |
E244133
|
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: Tony Bill | Statement: [Come Blow Your Horn, castMember, Tony Bill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Bill Context triple: [Come Blow Your Horn, castMember, Tony Bill]
-
A.
Tony Bill
chosen
Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
-
B.
Ken Hughes
Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
-
C.
Tom Benedek
Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
-
D.
Dan Curtis
Dan Curtis was an American director and producer best known for creating the gothic soap opera "Dark Shadows" and directing large-scale television miniseries such as "The Winds of War" and "War and Remembrance."
-
E.
Monte Hellman
Monte Hellman was an American film director and producer best known for his influential low-budget cult classics, including the road movie "Two-Lane Blacktop."
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35cf8cc819084dd472f22d604be |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75036ed008190aee48695ad7f857d |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:49 a.m.