Triple
T18173480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Velveteen Rabbit (2009 film) |
E435090
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Brian Shanley |
—
|
NE NERFINISHED |
How this triple was built (3 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: Brian Shanley | Statement: [The Velveteen Rabbit (2009 film), cinematographyBy, Brian Shanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Shanley Context triple: [The Velveteen Rabbit (2009 film), cinematographyBy, Brian Shanley]
-
A.
Brian Wilde
Brian Wilde was an English character actor best known for his comedic roles in British television series such as "Last of the Summer Wine" and "Porridge."
-
B.
Steven DeRose
Steven DeRose is a computer scientist and linguist known for his influential work in digital text encoding and markup languages, particularly in the development and standardization of XML-related technologies.
-
C.
Philip Dunne
Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
-
D.
Michael McDonough
Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
-
E.
Michael McHugh
Michael McHugh is a former Justice of the High Court of Australia known for his influential contributions to Australian constitutional and common law jurisprudence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Shanley Target entity description: Brian Shanley is a cinematographer best known for his work on the 2009 film adaptation of "The Velveteen Rabbit."
-
A.
Brian Wilde
Brian Wilde was an English character actor best known for his comedic roles in British television series such as "Last of the Summer Wine" and "Porridge."
-
B.
Steven DeRose
Steven DeRose is a computer scientist and linguist known for his influential work in digital text encoding and markup languages, particularly in the development and standardization of XML-related technologies.
-
C.
Philip Dunne
Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
-
D.
Michael McDonough
Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
-
E.
Michael McHugh
Michael McHugh is a former Justice of the High Court of Australia known for his influential contributions to Australian constitutional and common law jurisprudence.
- F. None of above. chosen
Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df583a8081908c07d3534091c2ae |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.