Triple
T13687001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exam |
E328157
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Stuart Hazeldine
Stuart Hazeldine is a British screenwriter and film director best known for his psychological thriller "Exam" and his work in the science fiction and fantasy genres.
|
E1073540
|
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: Stuart Hazeldine | Statement: [Exam, director, Stuart Hazeldine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Hazeldine Context triple: [Exam, director, Stuart Hazeldine]
-
A.
Stuart Davies
Stuart Davies was a British aeronautical engineer best known for leading the design of the Avro Vulcan strategic bomber.
-
B.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
C.
Michael Staines
Michael Staines was an Irish revolutionary and politician who became the inaugural head of Ireland’s national police force, the Garda Síochána, during the early years of the Irish Free State.
-
D.
Alastair Stewart
Alastair Stewart is a British journalist and long-serving television news presenter best known for his work with ITN and ITV News.
-
E.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
- 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: Stuart Hazeldine Triple: [Exam, director, Stuart Hazeldine]
Generated description
Stuart Hazeldine is a British screenwriter and film director best known for his psychological thriller "Exam" and his work in the science fiction and fantasy genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stuart Hazeldine Target entity description: Stuart Hazeldine is a British screenwriter and film director best known for his psychological thriller "Exam" and his work in the science fiction and fantasy genres.
-
A.
Stuart Davies
Stuart Davies was a British aeronautical engineer best known for leading the design of the Avro Vulcan strategic bomber.
-
B.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
C.
Michael Staines
Michael Staines was an Irish revolutionary and politician who became the inaugural head of Ireland’s national police force, the Garda Síochána, during the early years of the Irish Free State.
-
D.
Alastair Stewart
Alastair Stewart is a British journalist and long-serving television news presenter best known for his work with ITN and ITV News.
-
E.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
- 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_69fbac7c8bbc81908c7aa15c6892be34 |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbb00b50208190be68a22ae90ef113 |
completed | May 6, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb082c6988190ac679f09449c133d |
completed | May 6, 2026, 9:20 p.m. |
Created at: April 9, 2026, 9:53 p.m.