Triple

T8317528
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Sexes E194742 entity
Predicate starredActor P5563 FINISHED
Object Elisabeth Shue E254706 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: Elisabeth Shue | Statement: [Battle of the Sexes, starredActor, Elisabeth Shue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth Shue
Context triple: [Battle of the Sexes, starredActor, Elisabeth Shue]
  • A. Elisabeth Shue chosen
    Elisabeth Shue is an American actress known for her roles in films such as "The Karate Kid," "Adventures in Babysitting," and "Leaving Las Vegas," for which she received an Academy Award nomination.
  • B. Karen Kline
    Karen Kline is an American psychotherapist best known as the longtime spouse of Academy Award–winning actress Linda Hunt.
  • C. Anne McDonnell
    Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
  • D. Allison Hunt
    Allison Hunt is a fictional character in the television series "Grey's Anatomy," known primarily as the deceased sister of trauma surgeon Owen Hunt, whose death deeply affects his storyline.
  • E. Nancy Walker
    Nancy Walker was an American actress and comedian best known for her sharp-tongued character roles in film, television, and Broadway musicals.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f630ea881909fb639383e60aee9 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cf20900819084ab766192f36239 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 5:55 p.m.