Triple
T20863489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Murder Your Wife |
E513684
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mrs. Ford |
—
|
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: Mrs. Ford | Statement: [How to Murder Your Wife, mainCharacter, Mrs. Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Ford Context triple: [How to Murder Your Wife, mainCharacter, Mrs. Ford]
-
A.
Mrs. Ford
chosen
Mrs. Ford is a clever, resourceful married woman who helps orchestrate the comic humiliation of Falstaff in Verdi’s opera "Falstaff."
-
B.
Dorothy Ford
Dorothy Ford is the grandmother of Georgia Ford, known primarily through her familial connection within the Ford family.
-
C.
Lena Guilbert Ford
Lena Guilbert Ford was an American lyricist best known for writing the words to the popular World War I song "Keep the Home Fires Burning."
-
D.
Mrs Richards
Mrs Richards is a hard-of-hearing, cantankerous guest character from the classic British sitcom Fawlty Towers, known for her argumentative interactions with Basil Fawlty.
-
E.
Elizabeth Smith
Elizabeth Smith was the mother of George Monck, the 1st Duke of Albemarle, a key military figure in the English Restoration.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.