Triple
T12869215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Man |
E307802
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
David Jancso
David Jancso is a film editor known for his work on the action thriller "Monkey Man."
|
E1007735
|
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: David Jancso | Statement: [Monkey Man, editedBy, David Jancso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Jancso Context triple: [Monkey Man, editedBy, David Jancso]
-
A.
Nicolas de Toth
Nicolas de Toth is a film editor best known for his work on major Hollywood action movies, including Terminator 3: Rise of the Machines.
-
B.
Russ Meyer
Russ Meyer was an American filmmaker best known for his low-budget, sexploitation cult films featuring satirical humor and voluptuous female leads.
-
C.
André De Toth
André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
-
D.
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."
-
E.
Paul Kroitor
Paul Kroitor is the child of renowned Canadian filmmaker and IMAX co-founder Roman Kroitor.
- 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: David Jancso Triple: [Monkey Man, editedBy, David Jancso]
Generated description
David Jancso is a film editor known for his work on the action thriller "Monkey Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Jancso Target entity description: David Jancso is a film editor known for his work on the action thriller "Monkey Man."
-
A.
Nicolas de Toth
Nicolas de Toth is a film editor best known for his work on major Hollywood action movies, including Terminator 3: Rise of the Machines.
-
B.
Russ Meyer
Russ Meyer was an American filmmaker best known for his low-budget, sexploitation cult films featuring satirical humor and voluptuous female leads.
-
C.
André De Toth
André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
-
D.
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."
-
E.
Paul Kroitor
Paul Kroitor is the child of renowned Canadian filmmaker and IMAX co-founder Roman Kroitor.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb26eb08190912d0b44c345bf41 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69df1032881909255e506ddfd9c9f |
completed | May 3, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69ea645a0819095edc112b9ed9bff |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 9, 2026, 5:38 p.m.