Triple

T9722421
Position Surface form Disambiguated ID Type / Status
Subject Arlene Dahl E235508 entity
Predicate spouse P13 FINISHED
Object Lex Barker E555554 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: Lex Barker | Statement: [Arlene Dahl, spouse, Lex Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lex Barker
Context triple: [Arlene Dahl, spouse, Lex Barker]
  • A. Lex Barker chosen
    Lex Barker was an American actor best known for succeeding Johnny Weissmuller as Tarzan in a series of mid-20th-century adventure films.
  • B. David Wayne
    David Wayne was an American character actor known for his versatile performances in film, television, and theater from the 1940s through the 1980s.
  • C. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • D. Lloyd Owen
    Lloyd Owen is a British actor known for his work in film, television, and theatre, including roles in productions such as "Miss Potter" and "The Lord of the Rings: The Rings of Power."
  • E. Stuart Whitman
    Stuart Whitman was an American actor known for his rugged leading-man roles in film and television during the 1950s and 1960s, including an Academy Award–nominated performance in "The Mark."
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e75abd48190a6e6679ec51496e8 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40575f48190807b6a3f10e63b41 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:20 p.m.