Triple

T10467651
Position Surface form Disambiguated ID Type / Status
Subject Jacinda Barrett E246837 entity
Predicate notableWork P4 FINISHED
Object Ladder 49 E639880 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: Ladder 49 | Statement: [Jacinda Barrett, notableWork, Ladder 49]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladder 49
Context triple: [Jacinda Barrett, notableWork, Ladder 49]
  • A. Ladder 49 chosen
    Ladder 49 is a 2004 drama film that follows the lives and sacrifices of Baltimore firefighters, starring Joaquin Phoenix and John Travolta.
  • B. Ladder 85
    Ladder 85 is a New York City Fire Department ladder company based in the New Dorp neighborhood of Staten Island.
  • C. The Ladder
    The Ladder is a pioneering lesbian literary and political magazine that served as the primary publication of the Daughters of Bilitis and played a crucial role in early LGBTQ+ activism in the United States.
  • D. The Ladder
    "The Ladder" is a soulful, spiritually themed song by Prince from his 1985 album *Around the World in a Day*.
  • E. The Last Rung on the Ladder
    "The Last Rung on the Ladder" is a poignant, emotionally driven short story by Stephen King about childhood, guilt, and tragic loss.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.