Triple
T11049739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooties |
E261213
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Glacier Films
Glacier Films is an independent film production company known for backing genre and mid-budget movies such as the horror-comedy "Cooties."
|
E901292
|
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: Glacier Films | Statement: [Cooties, productionCompany, Glacier Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glacier Films Context triple: [Cooties, productionCompany, Glacier Films]
-
A.
Kestrel Films
Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
-
B.
Ventana Films
Ventana Films is a film production company known for its work on Guillermo del Toro’s acclaimed 1993 horror-fantasy film "Cronos."
-
C.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
D.
Aquarius Films
Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
-
E.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
- 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: Glacier Films Triple: [Cooties, productionCompany, Glacier Films]
Generated description
Glacier Films is an independent film production company known for backing genre and mid-budget movies such as the horror-comedy "Cooties."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glacier Films Target entity description: Glacier Films is an independent film production company known for backing genre and mid-budget movies such as the horror-comedy "Cooties."
-
A.
Kestrel Films
Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
-
B.
Ventana Films
Ventana Films is a film production company known for its work on Guillermo del Toro’s acclaimed 1993 horror-fantasy film "Cronos."
-
C.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
D.
Aquarius Films
Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
-
E.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
- 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_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad0379888190b2f56d36d79bf97d |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b206c7a4819087eb06faa6e1af21 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.