Triple
T20427462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl in the Café |
E501042
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Nicholas Hooper |
E130262
|
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: Nicholas Hooper | Statement: [The Girl in the Café, composer, Nicholas Hooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Hooper Context triple: [The Girl in the Café, composer, Nicholas Hooper]
-
A.
Nicholas Hooper
chosen
Nicholas Hooper is a British film and television composer best known for scoring the Harry Potter films "Order of the Phoenix" and "Half-Blood Prince."
-
B.
Brian MacDevitt
Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
-
C.
Michael Forsyth
Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
-
D.
Gareth Roberts
Gareth Roberts is a British television writer and novelist best known for his work on the revived Doctor Who series and related media.
-
E.
Stephen Mackintosh
Stephen Mackintosh is a British actor known for his work in film, television, and theatre, including roles in dramas and crime thrillers.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba9700481909fa23493f98095d1 |
completed | April 20, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b308d688190aa6522b3c11dc2a7 |
completed | May 16, 2026, 2:12 p.m. |
Created at: April 16, 2026, 11:30 a.m.