Triple
T20303838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Hess |
E505553
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wycliffe (TV score) |
—
|
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: Wycliffe (TV score) | Statement: [Nigel Hess, notableWork, Wycliffe (TV score)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wycliffe (TV score) Context triple: [Nigel Hess, notableWork, Wycliffe (TV score)]
-
A.
Wycliffe
chosen
Wycliffe is a British television crime drama series centered on Detective Superintendent Charles Wycliffe as he investigates complex cases in Cornwall.
-
B.
Wycherly
Wycherly is the surname of Margaret Wycherly, an English-born stage and film actress known for her character roles in early 20th-century American cinema.
-
C.
Welchman
Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
-
D.
Wingerworth
Wingerworth is a large suburban village in Derbyshire, England, situated just south of Chesterfield and known for its residential character and local amenities.
-
E.
Green Wing
Green Wing is a British surreal comedy television series set in a hospital, known for its ensemble cast, fast-paced editing, and offbeat, character-driven humor.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773e0864819095d272659cd2074d |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:17 a.m.