Triple

T17747553
Position Surface form Disambiguated ID Type / Status
Subject Victor E443026 entity
Predicate romanticRelationshipWith P9994 FINISHED
Object Sierra NE NERFINISHED

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: Sierra | Statement: [Victor, romanticRelationshipWith, Sierra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra
Context triple: [Victor, romanticRelationshipWith, Sierra]
  • A. Sierra
    Sierra is an off-price retail chain offering discounted brand-name and outdoor gear, operated as a sister brand to Marshalls under the TJX Companies portfolio.
  • B. Sierra
    Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
  • C. Sierra
    Sierra is one of the central "Actives" in the TV series *Dollhouse*, known for her complex backstory and evolving sense of identity amid the show's mind-wiping technology.
  • D. Sierra
    Sierra is a residential neighborhood within the master-planned Great Park Neighborhoods community in Irvine, California.
  • E. Sierra
    Sierra is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as a coyote symbolizing the American West and Olympic spirit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad33160819093c9bbd3c8957314 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.