Triple
T10471271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust Me |
E246927
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Dan Sefton |
E881333
|
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: Dan Sefton | Statement: [Trust Me, writer, Dan Sefton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Sefton Context triple: [Trust Me, writer, Dan Sefton]
-
A.
Dan Sefton
chosen
Dan Sefton is a British television writer and former doctor known for creating and writing medical and drama series such as Trust Me and The Good Karma Hospital.
-
B.
Simon Dutton
Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
-
C.
Colin Watkinson
Colin Watkinson is a British cinematographer best known for his visually striking work on films and television series such as The Fall and The Handmaid's Tale.
-
D.
J.J. Sefton
J.J. Sefton is the cynical, street-smart American POW and central protagonist of the World War II drama "Stalag 17," known for his sharp wit, opportunism, and eventual heroism.
-
E.
Chris Stainton
Chris Stainton is an English session keyboardist, bassist, and songwriter best known for his long-running work with Joe Cocker and contributions to numerous rock and pop recordings.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 6, 2026, 12:20 p.m.