Triple

T10285265
Position Surface form Disambiguated ID Type / Status
Subject Louise Fazenda E241210 entity
Predicate name P16 FINISHED
Object Louise Fazenda E241210 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: Louise Fazenda | Statement: [Louise Fazenda, name, Louise Fazenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Fazenda
Context triple: [Louise Fazenda, name, Louise Fazenda]
  • A. Louise Fazenda chosen
    Louise Fazenda was a prominent American silent film comedian and character actress known for her work in early Hollywood comedies.
  • B. Louise Pazienza
    Louise Pazienza is a character in the biographical boxing film "Bleed for This," depicted as a member of boxer Vinny Pazienza’s family.
  • C. Elizabeth Raposo
    Elizabeth Raposo is a film producer and former Paramount Pictures production executive known for overseeing and producing major studio projects, including Creed III.
  • D. Mariana Keil
    Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
  • E. Jacqueline Cambas
    Jacqueline Cambas is a film editor known for her work on the movie "Now and Then."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8444c48819095100c6d1d45ccc7 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:40 a.m.