Triple
T15699456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Fox |
E380555
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | Farmer Bunce |
E380556
|
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: Farmer Bunce | Statement: [Mr. Fox, antagonistOf, Farmer Bunce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farmer Bunce Context triple: [Mr. Fox, antagonistOf, Farmer Bunce]
-
A.
Farmer Bunce
chosen
Farmer Bunce is one of the three cruel and dim-witted farmers in Roald Dahl’s "Fantastic Mr. Fox," known for his gluttony and relentless attempts to capture Mr. Fox.
-
B.
Farmer Boggis
Farmer Boggis is one of the three cruel, gluttonous farmers who serve as antagonists to the clever title character in Roald Dahl's children's book "Fantastic Mr. Fox."
-
C.
Hugh the Drover
Hugh the Drover is an early 20th-century English opera by Ralph Vaughan Williams that blends folk-song elements with a romantic tale set in rural England.
-
D.
Goosefat Bill
Goosefat Bill is a roguish, sharp-tongued ally of Arthur and skilled fighter in the fantasy action film "King Arthur: Legend of the Sword."
-
E.
Barnacle Bill
Barnacle Bill is a British comedy film directed by Charles Frend, best known for its humorous portrayal of a retired naval officer who takes over a rundown seaside pier.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6d71308190971c10c599da9645 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9090e25481909f142b54ac4802f8 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:44 a.m.