Triple

T5531314
Position Surface form Disambiguated ID Type / Status
Subject Israel Potter E145054 entity
Predicate mainCharacter P1183 FINISHED
Object Israel Potter (character) E145054 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: Israel Potter (character) | Statement: [Israel Potter, mainCharacter, Israel Potter (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Israel Potter (character)
Context triple: [Israel Potter, mainCharacter, Israel Potter (character)]
  • A. Israel Potter chosen
    Israel Potter is a lesser-known historical novel by Herman Melville that fictionalizes the life and adventures of an American Revolutionary War veteran.
  • B. H. C. Potter
    H. C. Potter was an American film director known for his work in Hollywood during the 1930s and 1940s, including several notable comedies and dramas.
  • C. Clarkson Potter
    Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
  • D. Mary Storer Potter
    Mary Storer Potter was the first wife of American poet Henry Wadsworth Longfellow, whom he married in 1831 and who died tragically young.
  • E. Polly Pott
    Polly Pott is a fictional character from P. G. Wodehouse’s comic universe, appearing in his Blandings Castle novel "Service with a Smile."
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cdccb70819081bfe0e4a56f253f completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.