Triple
T21091106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matilda the Musical |
E519638
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mr Wormwood |
—
|
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: Mr Wormwood | Statement: [Matilda the Musical, character, Mr Wormwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr Wormwood Context triple: [Matilda the Musical, character, Mr Wormwood]
-
A.
Mrs Wormwood
Mrs Wormwood is a villainous alien Bane leader and primary antagonist in the Doctor Who spin-off pilot "Invasion of the Bane" from The Sarah Jane Adventures.
-
B.
Harry Wormwood
chosen
Harry Wormwood is the dishonest, neglectful car salesman father of the gifted protagonist in Roald Dahl’s children’s novel "Matilda."
-
C.
Tom Snout
Tom Snout is a minor comic character in Shakespeare’s *A Midsummer Night’s Dream*, a rustic tinker who plays the Wall in the craftsmen’s play-within-the-play.
-
D.
Miss Wormwood
Miss Wormwood is Calvin’s long-suffering, strict elementary school teacher in the comic strip "Calvin and Hobbes," often exasperated by his antics and daydreams.
-
E.
Cecil Dreeme
Cecil Dreeme is a 19th-century American novel by Theodore Winthrop, noted for its Gothic elements and early exploration of gender and identity themes.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ea7f881909db83bf6961b41ec |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:51 p.m.