Triple

T14879421
Position Surface form Disambiguated ID Type / Status
Subject Diane Freeling E349958 entity
Predicate portrayedBy P1507 FINISHED
Object JoBeth Williams E155206 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: JoBeth Williams | Statement: [Diane Freeling, portrayedBy, JoBeth Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JoBeth Williams
Context triple: [Diane Freeling, portrayedBy, JoBeth Williams]
  • A. JoBeth Williams chosen
    JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
  • B. Cindy Williams
    Cindy Williams is a fictional character from the British soap opera "EastEnders," known for her tumultuous relationships and connections to the Beale family.
  • C. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • D. June Lockhart
    June Lockhart is an American actress best known for her roles in classic television series such as "Lassie" and the original "Lost in Space."
  • E. Jaclyn Smith
    Jaclyn Smith is an American actress and businesswoman best known for her role on the TV series "Charlie's Angels" and for her long-running fashion and home collections sold through Kmart.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dbf1f5c8190ad4626d14e0d8109 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:55 a.m.