Triple
T499289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Railway Man |
E10363
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Martin Connor
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
|
E131793
|
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: Martin Connor | Statement: [The Railway Man, editedBy, Martin Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Connor Context triple: [The Railway Man, editedBy, Martin Connor]
-
A.
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.
-
B.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
-
E.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
- 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: Martin Connor Triple: [The Railway Man, editedBy, Martin Connor]
Generated description
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Connor Target entity description: Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
-
A.
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.
-
B.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
-
E.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e8f412c8190a50bfd63ce435663 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f3b0ee8819094ba1bdbaac8c43d |
completed | March 7, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5fa6a43881908b0ac30c4e376c5b |
completed | March 7, 2026, 5:25 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.