Triple

T15199945
Position Surface form Disambiguated ID Type / Status
Subject The Tales of Beatrix Potter (TV) E363240 entity
Predicate hasMainCharacter P1183 FINISHED
Object Mr. Jeremy Fisher E510298 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: Mr. Jeremy Fisher | Statement: [The Tales of Beatrix Potter (TV), hasMainCharacter, Mr. Jeremy Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Jeremy Fisher
Context triple: [The Tales of Beatrix Potter (TV), hasMainCharacter, Mr. Jeremy Fisher]
  • A. Mr. Jeremy Fisher chosen
    Mr. Jeremy Fisher is a frog character from Beatrix Potter’s children’s stories, known for his ill-fated but charming fishing adventures.
  • B. Johnny Hutchinson
    Johnny Hutchinson was a British rock drummer best known for his work with the Liverpool band The Big Three during the early 1960s Merseybeat era.
  • C. Stephen Rennicks
    Stephen Rennicks is an Irish composer best known for his film scores, particularly his long-standing collaboration with director Lenny Abrahamson.
  • D. John Quaintance
    John Quaintance is a screenwriter best known for his work on the comedy film "Material Girls."
  • E. John Denham
    John Denham is a British Labour politician who served in senior ministerial roles, including overseeing higher education and innovation policy in the UK government.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3363f688190a5c728846bea743a completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.