Triple

T15232621
Position Surface form Disambiguated ID Type / Status
Subject Andrea Guerra E364042 entity
Predicate name P16 FINISHED
Object Andrea Guerra E364042 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: Andrea Guerra | Statement: [Andrea Guerra, name, Andrea Guerra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Guerra
Context triple: [Andrea Guerra, name, Andrea Guerra]
  • A. Andrea Guerra chosen
    Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
  • B. Andrea Roa
    Andrea Roa is a film producer known for her work on the psychological horror movie "It Comes at Night."
  • C. Andrea Salinas
    Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
  • D. Andrea Rojas
    Andrea Rojas is a character in the Arrowverse TV series "Supergirl," known as a driven media mogul and the CEO of Obsidian North.
  • E. Andrea Dotti
    Andrea Dotti was an Italian psychiatrist best known for being the second husband of actress Audrey Hepburn.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff133950288190a5ffeb52ee0bac37 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:12 a.m.