Triple

T7235271
Position Surface form Disambiguated ID Type / Status
Subject JoBeth Williams E155206 entity
Predicate birthName P65 FINISHED
Object Margaret 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: Margaret JoBeth Williams | Statement: [JoBeth Williams, birthName, Margaret JoBeth Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret JoBeth Williams
Context triple: [JoBeth Williams, birthName, Margaret 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. 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.
  • C. Lauren Holly
    Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
  • D. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • E. 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."
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea130e5c819087f74883760fe327 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db0c60148190b066e04f98b91dce completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:55 p.m.