Triple

T15267737
Position Surface form Disambiguated ID Type / Status
Subject Barnum Brown E364942 entity
Predicate givenName P17 FINISHED
Object Barnum E294742 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: Barnum | Statement: [Barnum Brown, givenName, Barnum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnum
Context triple: [Barnum Brown, givenName, Barnum]
  • A. Barnum chosen
    Barnum is a musical theater production about the life and showmanship of P.T. Barnum, known for its lively score and circus-themed staging.
  • B. The Mighty Barnum
    The Mighty Barnum is a 1934 biographical film about showman P.T. Barnum, co-written by screenwriter Albert Hackett.
  • C. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • D. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • E. Zuckerman
    Zuckerman is a surname most notably associated with American screenwriter, actor, and director Buck Henry.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094ca9ac8190a1f97a7b74c96cd5 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee602067c81908b1aaaca8871eeb9 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.