Triple

T6106257
Position Surface form Disambiguated ID Type / Status
Subject Charles Boyle E136123 entity
Predicate romanticInterest P7325 FINISHED
Object Rosa Diaz E136122 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: Rosa Diaz | Statement: [Charles Boyle, romanticInterest, Rosa Diaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosa Diaz
Context triple: [Charles Boyle, romanticInterest, Rosa Diaz]
  • A. Rosa Diaz chosen
    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."
  • B. Ria Torres
    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.
  • C. Angel Lopez
    Angel Lopez is a music composer known for his work on the song "Every Hour."
  • D. Angel Lopez
    Angel Lopez is a music producer known for his work on the project "Hands On."
  • E. Santana Lopez
    Santana Lopez is a sharp-tongued, fiercely loyal cheerleader and singer from the TV series "Glee," known for her powerful vocals, complex relationships, and impactful LGBTQ+ storyline.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d56f234819082d89a755ae5a446 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:13 p.m.