Triple

T14766158
Position Surface form Disambiguated ID Type / Status
Subject Necessary Roughness E347000 entity
Predicate portrayedBy P1507 FINISHED
Object Autumn Reeser E312767 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: Autumn Reeser | Statement: [Necessary Roughness, portrayedBy, Autumn Reeser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autumn Reeser
Context triple: [Necessary Roughness, portrayedBy, Autumn Reeser]
  • A. Autumn Reeser chosen
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • B. Bree Daniels
    Bree Daniels is the troubled New York City call girl and aspiring actress portrayed by Jane Fonda in the 1971 neo-noir film "Klute."
  • C. Harper Regan
    Harper Regan is a contemporary stage play by Simon Stephens that follows a woman's life-changing journey over a few days as she confronts family, loss, and personal freedom.
  • D. Jessica Reedy
    Jessica Reedy is an American gospel singer and songwriter known for her soulful vocals and for gaining national attention as a finalist on BET’s “Sunday Best.”
  • E. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9683d34c81909ff7486582766620 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:30 a.m.