Triple
T4423032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Withnail & I |
E95145
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Withnail |
E95145
|
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: Withnail | Statement: [Withnail & I, mainCharacter, Withnail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Withnail Context triple: [Withnail & I, mainCharacter, Withnail]
-
A.
Withnail & I
chosen
Withnail & I is a 1987 British black comedy cult film about two out-of-work actors on a disastrous holiday in the English countryside.
-
B.
Thursbitch
Thursbitch is a novel by Alan Garner that blends myth, landscape, and time-slip elements in a haunting exploration of a remote Cheshire valley and its history.
-
C.
Mr. Plod
Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
-
D.
Sebaldus Nothanker
Sebaldus Nothanker is a satirical novel by Friedrich Nicolai that critiques religious hypocrisy and social conditions in late 18th-century Germany.
-
E.
Great Cackler
The Great Cackler is an epithet of the Egyptian earth god Geb, highlighting his association with the goose and his role in creation and fertility.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554b36a48190a475ac5474bed132 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62bbee48190bae8fc7b9cc29086 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.