Triple
T20453569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is England |
E501715
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Thomas Turgoose |
—
|
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: Thomas Turgoose | Statement: [This Is England, castMember, Thomas Turgoose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Turgoose Context triple: [This Is England, castMember, Thomas Turgoose]
-
A.
Thomas Turgoose
chosen
Thomas Turgoose is an English actor best known for his breakthrough role in the film "This Is England" and subsequent work in British independent cinema.
-
B.
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.
-
C.
Martin Compston
Martin Compston is a Scottish actor best known for his breakout role in Ken Loach’s film "Sweet Sixteen" and for starring as Detective Sergeant Steve Arnott in the TV series "Line of Duty."
-
D.
James Groves
James Groves is a person notable enough to be specifically cited as a bearer of the surname Groves.
-
E.
Tim Firth
Tim Firth is a British playwright and screenwriter known for works such as the hit film and stage musical "Calendar Girls."
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.