Triple
T9913310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of 1000 Corpses |
E185800
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Andy Gould
Andy Gould is a film producer best known for his work on horror movies, including collaborations with director Rob Zombie.
|
E832600
|
NE FINISHED |
How this triple was built (4 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: Andy Gould | Statement: [House of 1000 Corpses, producer, Andy Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Gould Context triple: [House of 1000 Corpses, producer, Andy Gould]
-
A.
Matt Gould
Matt Gould is a musician and vocalist known for performing the opening theme of the television series "Turn: Washington's Spies."
-
B.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
C.
Nick Gillard
Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
-
D.
Andy Crawford
Andy Crawford is a young police constable who serves as one of the main supporting officers in the long-running British television series "Dixon of Dock Green."
-
E.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Andy Gould Triple: [House of 1000 Corpses, producer, Andy Gould]
Generated description
Andy Gould is a film producer best known for his work on horror movies, including collaborations with director Rob Zombie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andy Gould Target entity description: Andy Gould is a film producer best known for his work on horror movies, including collaborations with director Rob Zombie.
-
A.
Matt Gould
Matt Gould is a musician and vocalist known for performing the opening theme of the television series "Turn: Washington's Spies."
-
B.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
C.
Nick Gillard
Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
-
D.
Andy Crawford
Andy Crawford is a young police constable who serves as one of the main supporting officers in the long-running British television series "Dixon of Dock Green."
-
E.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
- F. None of above. chosen
Provenance (5 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d22c56081909c3e4b8ca0e81fe7 |
completed | April 5, 2026, 10:44 a.m. |
| NEDg | Description generation | batch_69d23e6ca3908190b7ad7b932ab35ad7 |
completed | April 5, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d241020074819092bc2deea85a6ac0 |
completed | April 5, 2026, 11:01 a.m. |
Created at: March 30, 2026, 8:41 p.m.