Triple
T5925265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Railway Man |
E131793
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Martin Connor |
E131793
|
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: Martin Connor | Statement: [The Railway Man, editor, Martin Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Connor Context triple: [The Railway Man, editor, Martin Connor]
-
A.
Martin Connor
chosen
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
-
B.
Patrick Kilpatrick
Patrick Kilpatrick is an American character actor, stuntman, and producer best known for his frequent villain roles in action films and television series.
-
C.
Nathan Connolly
Nathan Connolly is a Northern Irish musician best known as the lead guitarist and backing vocalist of the alternative rock band Snow Patrol.
-
D.
Angus O'Connor
Angus O'Connor is a fictional character portrayed by Scottish actor Clive Russell.
-
E.
Brian Kavanagh
Brian Kavanagh is a film editor best known for his work on notable Australian and international films, including the drama "The Devil's Playground."
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3a9b6348190909e14e095e2eea0 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.