Triple

T14929230
Position Surface form Disambiguated ID Type / Status
Subject Texasville E372213 entity
Predicate hasCastMember P2308 FINISHED
Object Cybill Shepherd E154558 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: Cybill Shepherd | Statement: [Texasville, hasCastMember, Cybill Shepherd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cybill Shepherd
Context triple: [Texasville, hasCastMember, Cybill Shepherd]
  • A. Cybill Shepherd chosen
    Cybill Shepherd is an American actress and former model best known for her roles in films like "The Last Picture Show" and the TV series "Moonlighting."
  • B. Kelly Rutherford
    Kelly Rutherford is an American actress best known for her roles on television series such as "Melrose Place" and "Gossip Girl."
  • C. Lee Russo
    Lee Russo is known as the spouse of American television host and film critic Ben Mankiewicz.
  • D. Jorja Fox
    Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
  • E. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3216fc8190b79740a993b98cb3 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 2:36 a.m.