Triple

T8628734
Position Surface form Disambiguated ID Type / Status
Subject Eli Loker E204344 entity
Predicate colleague P398 FINISHED
Object Ria Torres E210498 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: Ria Torres | Statement: [Eli Loker, colleague, Ria Torres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ria Torres
Context triple: [Eli Loker, colleague, Ria Torres]
  • A. Ria Torres chosen
    Ria Torres is a naturally gifted deception expert and protégé of Dr. Cal Lightman in the television series "Lie to Me," known for her intuitive ability to read microexpressions and detect lies.
  • B. Rosa Diaz
    Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
  • C. Lydia Riera
    Lydia Riera is a central character on the sitcom "One Day at a Time," known as Penelope Alvarez's devout, outspoken Cuban mother and the family's dramatic, loving matriarch.
  • D. Maya Vidal
    Maya Vidal is the troubled teenage protagonist of Isabel Allende’s novel "Maya’s Notebook," whose coming-of-age journey unfolds through her candid, reflective diary entries.
  • E. Angelica Fuentes
    Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc473f6b888190ae40d65f24122c88 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc02b4008190a70ca8eb6f43926d completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.