Triple

T5741807
Position Surface form Disambiguated ID Type / Status
Subject Runway magazine E126631 entity
Predicate employerOfCharacter P40735 FINISHED
Object Andrea Sachs E149889 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: Andrea Sachs | Statement: [Runway magazine, employerOfCharacter, Andrea Sachs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Sachs
Context triple: [Runway magazine, employerOfCharacter, Andrea Sachs]
  • A. Andrea Sachs chosen
    Andrea Sachs is the ambitious young journalist who becomes the overworked assistant to powerful fashion editor Miranda Priestly in "The Devil Wears Prada."
  • B. Sydney Shapiro
    Sydney Shapiro is an American actress and former model best known as the wife of Uber CEO Dara Khosrowshahi.
  • C. Jenny Schecter
    Jenny Schecter is a central, often controversial character in the television drama "The L Word," known for her complex personal evolution, troubled relationships, and career as a writer.
  • D. Amy Stryker
    Amy Stryker is an American actress known for her roles in 1970s and 1980s film and television productions.
  • E. Andrea Zuckerman
    Andrea Zuckerman is a driven, socially conscious honors student and school newspaper editor on the teen drama series "Beverly Hills, 90210."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0335f23c081909b35020801e3ef12 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0c0dd948190a39c714026a228b0 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:48 p.m.