Triple
T4170171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawlty Towers |
E84543
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Basil Fawlty |
E84545
|
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: Basil Fawlty | Statement: [Fawlty Towers, mainCharacter, Basil Fawlty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basil Fawlty Context triple: [Fawlty Towers, mainCharacter, Basil Fawlty]
-
A.
Basil Fawlty
chosen
Basil Fawlty is the snobbish, short-tempered hotel owner and central comedic character from the British sitcom "Fawlty Towers."
-
B.
Pongo Twistleton
Pongo Twistleton is a recurring, often hapless young protagonist in P. G. Wodehouse’s comic Uncle Fred stories, frequently entangled in romantic and financial scrapes.
-
C.
Revie
Revie is a surname most famously associated with Don Revie, the influential English football player and manager who transformed Leeds United in the 1960s and 1970s.
-
D.
Helga Cranston
Helga Cranston was a film editor best known for her work on Laurence Olivier’s 1948 adaptation of Shakespeare’s "Hamlet."
-
E.
Uncle Fred
Uncle Fred is a mischievous, quick-witted aristocrat and recurring comic hero in P. G. Wodehouse’s humorous stories.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f4ef1a08190a232ed94595a86e8 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.