Triple
T3056371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For the Boys |
E60489
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Peter James
Peter James is an Australian cinematographer known for his work on numerous feature films and television projects.
|
E323401
|
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 James | Statement: [For the Boys, cinematographyBy, Peter James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter James Context triple: [For the Boys, cinematographyBy, Peter James]
-
A.
Peter James
Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
-
B.
Peter Robinson
Peter Robinson is a Northern Irish politician who served as leader of the Democratic Unionist Party and First Minister of Northern Ireland.
-
C.
Colin Dexter
Colin Dexter was a British crime writer best known as the creator of the Inspector Morse detective novels, which inspired a popular television series.
-
D.
Frank Campion
Frank Campion is a Canadian municipal politician who serves as the mayor of Welland, Ontario.
-
E.
John Black
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
- 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 James Triple: [For the Boys, cinematographyBy, Peter James]
Generated description
Peter James is an Australian 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 James Target entity description: Peter James is an Australian cinematographer known for his work on numerous feature films and television projects.
-
A.
Peter James
Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
-
B.
Peter Robinson
Peter Robinson is a Northern Irish politician who served as leader of the Democratic Unionist Party and First Minister of Northern Ireland.
-
C.
Colin Dexter
Colin Dexter was a British crime writer best known as the creator of the Inspector Morse detective novels, which inspired a popular television series.
-
D.
Frank Campion
Frank Campion is a Canadian municipal politician who serves as the mayor of Welland, Ontario.
-
E.
John Black
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0671e48190a793f907cc211dd8 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efcf4da08190a9fd5fd88bba0358 |
completed | March 11, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f1ce72388190871884c99526057d |
completed | March 11, 2026, 10:50 p.m. |
Created at: March 8, 2026, 3:02 p.m.