Triple

T14456092
Position Surface form Disambiguated ID Type / Status
Subject Mood Indigo (2013 film) E358462 entity
Predicate screenwriter P2831 FINISHED
Object Luc Bossi E1100718 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: Luc Bossi | Statement: [Mood Indigo (2013 film), screenwriter, Luc Bossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luc Bossi
Context triple: [Mood Indigo (2013 film), screenwriter, Luc Bossi]
  • A. Luc Bossi chosen
    Luc Bossi is a French screenwriter and film producer known for his work on imaginative and visually distinctive films such as "Mood Indigo."
  • B. Marco Enrico Bossi
    Marco Enrico Bossi was an Italian composer, organist, and influential teacher known for his virtuosic organ works and contributions to late-Romantic sacred and instrumental music.
  • C. Enrico Fumia
    Enrico Fumia is an Italian car designer best known for his influential work on several Alfa Romeo models and other notable automotive projects.
  • D. Franco Montoro
    Franco Montoro was a prominent Brazilian politician and lawyer who served as governor of São Paulo and became a key figure in Brazil’s re-democratization in the late 20th century.
  • E. Sergio Bini Bustric
    Sergio Bini Bustric is an Italian actor and magician best known internationally for his supporting role in the acclaimed film "Life Is Beautiful."
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d890be88190afe61dde0d1e75a8 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.