Triple

T11252472
Position Surface form Disambiguated ID Type / Status
Subject Lynda Carter E266351 entity
Predicate name P16 FINISHED
Object Lynda Carter E266351 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: Lynda Carter | Statement: [Lynda Carter, name, Lynda Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynda Carter
Context triple: [Lynda Carter, name, Lynda Carter]
  • A. Lynda Carter chosen
    Lynda Carter is an American actress, singer, and beauty pageant titleholder best known for portraying the iconic title character in the 1970s television series "Wonder Woman."
  • B. Linda Carter
    Linda Carter is a fictional supporting character from the comic book series "The Oath," known for her role in the story’s medical and ethical conflicts.
  • C. Lindsay Wagner
    Lindsay Wagner is an American actress best known for her Emmy-winning role as Jaime Sommers in the television series "The Bionic Woman."
  • D. Lorraine Taylor
    Lorraine Taylor is known as a former spouse of musician and bandleader Ike Turner, associated with his early personal life and career period.
  • E. Margot Kidder
    Margot Kidder was a Canadian-American actress best known for playing Lois Lane in the Christopher Reeve Superman films of the 1970s and 1980s.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc8599588190b510cf888ec42e34 completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.