Triple
T10553787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Shop |
E249021
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Peter Lyons Collister
Peter Lyons Collister is an American cinematographer known for his work on numerous feature films and television projects.
|
E237367
|
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: Peter Lyons Collister | Statement: [Beauty Shop, cinematographyBy, Peter Lyons Collister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lyons Collister Context triple: [Beauty Shop, cinematographyBy, Peter Lyons Collister]
-
A.
Peter Collinson
Peter Collinson was a British film director best known for his work on stylish 1960s and 1970s crime and thriller films.
-
B.
Robert James-Collier
Robert James-Collier is an English actor best known for his roles in the television series "Downton Abbey" and "Coronation Street."
-
C.
James Collinson
James Collinson was a 19th-century English painter associated with the Pre-Raphaelite Brotherhood and early Victorian art circles.
-
D.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
E.
Peter LeFanu Lumsdaine
Peter LeFanu Lumsdaine is a mathematician known for his work in category theory, type theory, and homotopy type theory.
- 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: Peter Lyons Collister Triple: [Beauty Shop, cinematographyBy, Peter Lyons Collister]
Generated description
Peter Lyons Collister is an American cinematographer known for his work on numerous feature films and television projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Lyons Collister Target entity description: Peter Lyons Collister is an American cinematographer known for his work on numerous feature films and television projects.
-
A.
Peter Lyons Collister
chosen
Peter Lyons Collister is an American cinematographer known for his work on numerous feature films, including the action-comedy "Barely Lethal."
-
B.
Peter Collinson
Peter Collinson was a British film director best known for his work on stylish 1960s and 1970s crime and thriller films.
-
C.
Robert James-Collier
Robert James-Collier is an English actor best known for his roles in the television series "Downton Abbey" and "Coronation Street."
-
D.
James Collinson
James Collinson was a 19th-century English painter associated with the Pre-Raphaelite Brotherhood and early Victorian art circles.
-
E.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
- F. None of above.
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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9346f6a38819087647e7a09f40c41 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:34 p.m.