Triple

T15072200
Position Surface form Disambiguated ID Type / Status
Subject The Burning Room E379904 entity
Predicate hasCharacter P2308 FINISHED
Object Lucia Soto E1257452 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: Lucia Soto | Statement: [The Burning Room, hasCharacter, Lucia Soto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucia Soto
Context triple: [The Burning Room, hasCharacter, Lucia Soto]
  • A. Lucia Soto chosen
    Lucia Soto is a driven and resourceful Los Angeles Police Department detective who partners with Harry Bosch in Michael Connelly’s novel "The Burning Room."
  • B. Sofia Huerta
    Sofia Huerta is a professional American soccer player and United States women’s national team defender known for her versatility and attacking contributions from the back line.
  • C. Yahira Garcia
    Yahira Garcia is an actress known for her role in the 2012 police drama film "End of Watch."
  • D. Mayte Garcia
    Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
  • E. Pilar Salazar
    Pilar Salazar is a main supporting character in the teen drama series "Love, Victor," known as Victor's younger sister who navigates her own personal and family struggles.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170d8c9f0819099a398814f49f0ed completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 3:02 a.m.