Triple

T7564293
Position Surface form Disambiguated ID Type / Status
Subject Dee Wallace E178872 entity
Predicate name P16 FINISHED
Object Dee Wallace E178872 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: Dee Wallace | Statement: [Dee Wallace, name, Dee Wallace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dee Wallace
Context triple: [Dee Wallace, name, Dee Wallace]
  • A. Dee Wallace chosen
    Dee Wallace is an American actress best known for her role as the mother in the classic science-fiction film "E.T. the Extra-Terrestrial."
  • B. Marcia Wallace
    Marcia Wallace was an American actress and comedian best known for her roles as the witty receptionist Carol Kester on television and as the voice of Edna Krabappel on "The Simpsons."
  • C. JoBeth Williams
    JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
  • D. Dana Plato
    Dana Plato was an American actress best known for playing Kimberly Drummond on the television sitcom "Diff'rent Strokes."
  • E. Jamie Lee Curtis
    Jamie Lee Curtis is an American actress and author renowned for her versatile film career spanning horror classics like "Halloween" and acclaimed dramatic and comedic roles.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fc6a408190abf363a29359e764 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.