Triple
T2982300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man on Wire |
E80539
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | James Marsh |
E317048
|
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 Marsh | Statement: [Man on Wire, writer, James Marsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Marsh Context triple: [Man on Wire, writer, James Marsh]
-
A.
James Marsh
chosen
James Marsh is a British filmmaker best known for his acclaimed documentary and narrative features, including the Oscar-winning "Man on Wire" and the biographical drama "The Theory of Everything."
-
B.
William Oldroyd
William Oldroyd is a British film and theatre director best known for his critically acclaimed 2016 period drama film "Lady Macbeth."
-
C.
Iain Softley
Iain Softley is a British film director, producer, and screenwriter known for movies such as "Backbeat," "Hackers," and "The Wings of the Dove."
-
D.
Danny Boyle
Danny Boyle is an acclaimed British film director and producer known for movies such as "Trainspotting," "Slumdog Millionaire," and "28 Days Later."
-
E.
Max Minghella
Max Minghella is a British actor and filmmaker known for roles in films like "The Social Network" and the series "The Handmaid's Tale."
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a1ed44819085ae6d39943db1d9 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e31a8188190bd5ad6c9757e7141 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:58 p.m.