Triple
T9565603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mank |
E230780
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Sam Troughton |
E475721
|
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: Sam Troughton | Statement: [Mank, castMember, Sam Troughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Troughton Context triple: [Mank, castMember, Sam Troughton]
-
A.
Sam Troughton
chosen
Sam Troughton is a British actor known for his work in television, film, and theatre, including a prominent role in the BBC drama series "Robin Hood."
-
B.
Peter Firth
Peter Firth is an English actor best known for his roles in the film "Equus" and the television series "Spooks" (MI-5).
-
C.
Rupert Penry-Jones
Rupert Penry-Jones is a British actor known for his roles in television dramas such as "Spooks" and "Silk," as well as various film and stage productions.
-
D.
Ian Hanmore
Ian Hanmore is a Scottish character actor known for his work in British film and television, including roles in series like Game of Thrones and Doctor Who.
-
E.
Benjamin Whitrow
Benjamin Whitrow was a British character actor best known for his acclaimed portrayal of Mr. Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16149c7808190b476ec06e9780a03 |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:04 p.m.