Triple
T499277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Railway Man |
E10363
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andy Paterson |
E62134
|
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: Andy Paterson | Statement: [The Railway Man, producer, Andy Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Paterson Context triple: [The Railway Man, producer, Andy Paterson]
-
A.
Andy Paterson
chosen
Andy Paterson is a British film producer and screenwriter known for working on acclaimed dramas such as "The Railway Man."
-
B.
Graham Henry
Graham Henry is a renowned New Zealand rugby union coach best known for leading the All Blacks to sustained dominance, including victory at the 2011 Rugby World Cup.
-
C.
Marc Seriff
Marc Seriff is an American computer scientist and entrepreneur best known as a co-founder and early technical leader of the pioneering internet company AOL.
-
D.
Steve Hansen
Steve Hansen is a highly successful New Zealand rugby union coach best known for leading the All Blacks to multiple Rugby World Cup titles and a dominant era in international rugby.
-
E.
Carl Cheffers
Carl Cheffers is an American NFL official who has served as a referee in multiple high-profile games, including the Super Bowl.
- 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_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_69a48543f1948190b710628bf53cdf01 |
completed | March 1, 2026, 6:28 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.