Triple

T21367808
Position Surface form Disambiguated ID Type / Status
Subject Enzo Barboni E526966 entity
Predicate notableWork P4 FINISHED
Object Double Trouble NE NERFINISHED

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: Double Trouble | Statement: [Enzo Barboni, notableWork, Double Trouble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Double Trouble
Context triple: [Enzo Barboni, notableWork, Double Trouble]
  • A. Double Trouble
    Double Trouble is a 1984 action-comedy film starring Margaux Hemingway as one of a pair of twin sisters caught up in a high-stakes adventure.
  • B. Double Trouble
    Double Trouble is a short story by Chinua Achebe that is often published as part of his collection "Things Fall Apart" and explores themes of tradition, change, and cultural conflict in Igbo society.
  • C. Double Trouble
    Double Trouble is a 2012 Hong Kong-Taiwan action-comedy film starring Jaycee Chan as a museum security guard caught up in an international art heist.
  • D. Double Trouble
    "Double Trouble" is a choral piece composed by John Williams for the film Harry Potter and the Prisoner of Azkaban, featuring a witchy, medieval-sounding melody whose lyrics are adapted from Shakespeare’s Macbeth.
  • E. Double Trouble chosen
    Double Trouble is a 1984 Italian action-comedy film starring Bud Spencer and Terence Hill as mismatched doubles caught up in a high-energy adventure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bae5eb88190be6d9ff4dc03d52b completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:09 p.m.