Triple

T14641603
Position Surface form Disambiguated ID Type / Status
Subject Book Two: Jacob E343736 entity
Predicate featuresCharacter P626 FINISHED
Object Seth Clearwater E1112507 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: Seth Clearwater | Statement: [Book Two: Jacob, featuresCharacter, Seth Clearwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Clearwater
Context triple: [Book Two: Jacob, featuresCharacter, Seth Clearwater]
  • A. Seth Clearwater chosen
    Seth Clearwater is a young Quileute werewolf from the Twilight series, known for his loyalty, optimism, and close alliance with both Jacob Black and the Cullen family.
  • B. Seth Tuttle
    Seth Tuttle is an American former college basketball standout for the University of Northern Iowa who became one of the program’s most decorated and impactful players.
  • C. Seth Ryan
    Seth Ryan is an American football coach and former college wide receiver, known in part as the son of longtime NFL head coach Rex Ryan.
  • D. Seth Reed
    Seth Reed is known as the father of American actress and screenwriter Nikki Reed.
  • E. Seth Fisher
    Seth Fisher is a television producer best known for his work on the adaptation of John Green’s novel "Looking for Alaska" into a miniseries.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde170d4a0819087caeacf39f95954 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:26 a.m.