Triple

T12791323
Position Surface form Disambiguated ID Type / Status
Subject First Papers E305768 entity
Predicate hasTitle P38 FINISHED
Object First Papers E305768 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: First Papers | Statement: [First Papers, hasTitle, First Papers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First Papers
Context triple: [First Papers, hasTitle, First Papers]
  • A. First Papers chosen
    First Papers is a novel by American author Laura Z. Hobson that explores themes of immigration, identity, and assimilation in the United States.
  • B. The Paper
    The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
  • C. Short Studies on Great Subjects
    Short Studies on Great Subjects is a collection of historical and literary essays by Victorian historian and essayist James Anthony Froude.
  • D. The First Year
    The First Year is a 2001 documentary film that follows five first-year public school teachers in Los Angeles as they navigate the challenges of their new profession.
  • E. Paper I
    Paper I is the common, general-aptitude qualifying paper of the National Eligibility Test that assesses candidates’ teaching and research aptitude across all subjects.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6b55248190ab938e69eb263612 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68508e4488190bb57a1ade93987ab completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.