Triple
T4170275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basil Fawlty |
E84545
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sybil Fawlty |
E419787
|
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: Sybil Fawlty | Statement: [Basil Fawlty, spouse, Sybil Fawlty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sybil Fawlty Context triple: [Basil Fawlty, spouse, Sybil Fawlty]
-
A.
Sybil Fawlty
chosen
Sybil Fawlty is the sharp-tongued, long-suffering wife of Basil Fawlty and co-owner of the chaotic hotel in the British sitcom "Fawlty Towers."
-
B.
Basil Fawlty
Basil Fawlty is the snobbish, short-tempered hotel owner and central comedic character from the British sitcom "Fawlty Towers."
-
C.
Helga Cranston
Helga Cranston was a film editor best known for her work on Laurence Olivier’s 1948 adaptation of Shakespeare’s "Hamlet."
-
D.
Betty Farrally
Betty Farrally was a Canadian dancer, teacher, and co-founder who played a pivotal role in establishing what became the Royal Winnipeg Ballet, one of North America’s oldest ballet companies.
-
E.
Mary Tuffley
Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
- 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_69b59611f8548190a47638bcd95e1541 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:44 p.m.