Triple

T14656061
Position Surface form Disambiguated ID Type / Status
Subject Hombre E344109 entity
Predicate followedBy P78 FINISHED
Object The Big Bounce E845951 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: The Big Bounce | Statement: [Hombre, followedBy, The Big Bounce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Bounce
Context triple: [Hombre, followedBy, The Big Bounce]
  • A. The Big Bounce
    The Big Bounce is a 2004 crime-comedy film based on an Elmore Leonard novel, starring Owen Wilson as a small-time crook drawn into a laid-back Hawaiian caper.
  • B. The Big Bounce chosen
    The Big Bounce is a 1969 crime novel by Elmore Leonard, later adapted into feature films, that follows a small-time crook drawn into a dangerous scheme in a beach-town setting.
  • C. The Three Big Bangs
    The Three Big Bangs is a popular science book by physicist Richard Muller that explores three major cosmic “beginnings” in the history of the universe and their implications for cosmology.
  • D. The Restless Universe
    The Restless Universe is a popular science book by physicist Max Born that explains modern physics and quantum theory to a general audience in clear, accessible language.
  • E. The Big Thing
    The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
  • 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_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5de0b98819094c32765e4cb3f9c completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.