Triple

T9987983
Position Surface form Disambiguated ID Type / Status
Subject Wild E196816 entity
Predicate character P662 FINISHED
Object Cheryl Strayed E715399 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: Cheryl Strayed | Statement: [Wild, character, Cheryl Strayed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheryl Strayed
Context triple: [Wild, character, Cheryl Strayed]
  • A. Cheryl Strayed chosen
    Cheryl Strayed is an American writer and memoirist best known for her bestselling memoir "Wild," which chronicles her transformative solo hike along the Pacific Crest Trail.
  • B. Glennon Doyle
    Glennon Doyle is an American author, speaker, and activist best known for her memoirs "Untamed" and "Love Warrior" and for her work on feminism, sobriety, and personal empowerment.
  • C. Kristin Yancey
    Kristin Yancey is a fictional character from the American television sitcom "Kristin."
  • D. Julia Phillips
    Julia Phillips was a pioneering American film producer and writer, best known for helping bring landmark 1970s films like "Taxi Driver" and "Close Encounters of the Third Kind" to the screen and for being the first female producer to win a Best Picture Oscar.
  • E. Molly Smith
    Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79e10408190bcb4e55b6a0df79c completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a21b2388190b16f0aa142846599 completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:50 p.m.