Triple
T20426998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Chance Harvey |
E501030
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nicola Usborne |
E501030
|
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: Nicola Usborne | Statement: [Last Chance Harvey, producer, Nicola Usborne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicola Usborne Context triple: [Last Chance Harvey, producer, Nicola Usborne]
-
A.
Nicola Usborne
chosen
Nicola Usborne is a film producer best known for her work on the romantic drama "Last Chance Harvey."
-
B.
Nicola Upson
Nicola Upson is a British crime novelist best known for her historical mystery series featuring real-life author Josephine Tey as a detective.
-
C.
Nicola Murray
Nicola Murray is a fictional, politically inexperienced and often overwhelmed junior minister-turned-opposition leader in the British satirical television series "The Thick of It."
-
D.
Nicola Harrison
Nicola Harrison is an actress known for her role in the 2017 gothic horror film "Marrowbone."
-
E.
Nicola Beauman
Nicola Beauman is a British biographer, literary historian, and founder of the feminist publishing house Persephone Books, known for reviving neglected works by 20th-century women writers.
- 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_6a0883f2977c8190b8c98b5beec749c1 |
completed | May 16, 2026, 2:49 p.m. |
Created at: April 16, 2026, 11:30 a.m.