Triple
T14635698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicine for Melancholy |
E343600
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | James Laxton |
E355739
|
NE FINISHED |
How this triple was built (2 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: James Laxton | Statement: [Medicine for Melancholy, cinematographyBy, James Laxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Laxton Context triple: [Medicine for Melancholy, cinematographyBy, James Laxton]
-
A.
James Laxton
chosen
James Laxton is an American cinematographer best known for his acclaimed, visually distinctive work on the Oscar-winning film "Moonlight."
-
B.
Richard Laxton
Richard Laxton is a British film and television director known for his work on dramas such as the period film "Effie Gray."
-
C.
Robert Lence
Robert Lence is an American screenwriter and story artist best known for his work on acclaimed animated films such as Disney’s "Beauty and the Beast."
-
D.
Philip Latham
Philip Latham was a British actor best known for his character roles in film and television, particularly in period dramas.
-
E.
Charles Hanson
Charles Hanson is a central character in the crime drama film "Before the Devil Knows You're Dead," whose actions help drive the story’s tragic heist and family conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b40633481909882645f73d3e2c6 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:26 a.m.