Triple
T13687008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exam |
E328157
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Hazeldine Films
Hazeldine Films is a film production company known for producing the movie "Exam."
|
E1054430
|
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: Hazeldine Films | Statement: [Exam, productionCompany, Hazeldine Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazeldine Films Context triple: [Exam, productionCompany, Hazeldine Films]
-
A.
Wardour Films
Wardour Films was a British film distribution company active in the early 20th century, known for handling the release of numerous silent and early sound films in the United Kingdom.
-
B.
Celandine Films
Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
-
C.
Highland Films
Highland Films is a film production company best known for producing the acclaimed historical drama "A Man for All Seasons."
-
D.
Rook Films
Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
-
E.
Clerkenwell Films
Clerkenwell Films is a British television and film production company known for creating acclaimed dramas and comedies such as "Misfits" and "Lovesick."
- 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: Hazeldine Films Triple: [Exam, productionCompany, Hazeldine Films]
Generated description
Hazeldine Films is a film production company known for producing the movie "Exam."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hazeldine Films Target entity description: Hazeldine Films is a film production company known for producing the movie "Exam."
-
A.
Wardour Films
Wardour Films was a British film distribution company active in the early 20th century, known for handling the release of numerous silent and early sound films in the United Kingdom.
-
B.
Celandine Films
Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
-
C.
Highland Films
Highland Films is a film production company best known for producing the acclaimed historical drama "A Man for All Seasons."
-
D.
Rook Films
Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
-
E.
Clerkenwell Films
Clerkenwell Films is a British television and film production company known for creating acclaimed dramas and comedies such as "Misfits" and "Lovesick."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795e361c48190b37060312e7df181 |
completed | May 3, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f796e5c60c8190a19389bc4cdbd658 |
completed | May 3, 2026, 6:41 p.m. |
Created at: April 9, 2026, 9:53 p.m.