Triple
T11049715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooties |
E261213
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Jonathan Milott
Jonathan Milott is a film director best known for co-directing the horror-comedy movie "Cooties."
|
E922587
|
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: Jonathan Milott | Statement: [Cooties, director, Jonathan Milott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Milott Context triple: [Cooties, director, Jonathan Milott]
-
A.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
B.
Andy Milder
Andy Milder is an American actor best known for his recurring role as Dean Hodes on the television series "Weeds."
-
C.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
-
D.
Andrew Hafitz
Andrew Hafitz is a film editor known for his work on independent and arthouse films, including collaborations with director Whit Stillman.
-
E.
Jonathan Morris
Jonathan Morris is a film editor known for his work on acclaimed British and Irish films, including collaborations with director Ken Loach such as "The Wind That Shakes the Barley."
- 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: Jonathan Milott Triple: [Cooties, director, Jonathan Milott]
Generated description
Jonathan Milott is a film director best known for co-directing the horror-comedy movie "Cooties."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Milott Target entity description: Jonathan Milott is a film director best known for co-directing the horror-comedy movie "Cooties."
-
A.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
B.
Andy Milder
Andy Milder is an American actor best known for his recurring role as Dean Hodes on the television series "Weeds."
-
C.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
-
D.
Andrew Hafitz
Andrew Hafitz is a film editor known for his work on independent and arthouse films, including collaborations with director Whit Stillman.
-
E.
Jonathan Morris
Jonathan Morris is a film editor known for his work on acclaimed British and Irish films, including collaborations with director Ken Loach such as "The Wind That Shakes the Barley."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58a8c67248190be284ddd84f9d8b8 |
completed | April 20, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:26 p.m.