Triple

T3860218
Position Surface form Disambiguated ID Type / Status
Subject The Impossible E90115 entity
Predicate editedBy P1954 FINISHED
Object Elena Ruiz E427346 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: Elena Ruiz | Statement: [The Impossible, editedBy, Elena Ruiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elena Ruiz
Context triple: [The Impossible, editedBy, Elena Ruiz]
  • A. Elena Ruiz chosen
    Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
  • B. Elena Alvarez
    Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
  • C. Elizabeth Avellán
    Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
  • D. Yolanda López
    Yolanda López was a Chicana artist, activist, and educator best known for her influential feminist reinterpretations of the Virgin of Guadalupe and her contributions to Chicano art and social justice movements.
  • E. Ana Martínez
    Ana Martínez is known as the romantic partner of Chilean footballer Diego de Almagro.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6ed5910819095de0dce09bd50b8 completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:19 p.m.