Triple
T19106160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Templar |
E467659
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Simon Dutton |
—
|
NE NERFINISHED |
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: Simon Dutton | Statement: [Simon Templar, portrayedBy, Simon Dutton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Dutton Context triple: [Simon Templar, portrayedBy, Simon Dutton]
-
A.
Simon Dutton
chosen
Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
-
B.
Sean Dorward
Sean Dorward is a computer scientist and software engineer best known for his work at Bell Labs on the Limbo programming language and the Inferno operating system.
-
C.
Clive Dawson
Clive Dawson is a British screenwriter best known for writing the science fiction horror film "The Last Days on Mars."
-
D.
Tim Dutton
Tim Dutton is a British actor known for his work in film, television, and theatre, including roles in period dramas and literary adaptations.
-
E.
Simon Tindall
Simon Tindall is a cinematographer known for his work on the British coming-of-age film "Days of the Bagnold Summer."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e37159688190a6896d9730214ba8 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.