Triple

T21338271
Position Surface form Disambiguated ID Type / Status
Subject Hampton Fancher E526109 entity
Predicate spouse P13 FINISHED
Object Sue Lyon NE NERFINISHED

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: Sue Lyon | Statement: [Hampton Fancher, spouse, Sue Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Lyon
Context triple: [Hampton Fancher, spouse, Sue Lyon]
  • A. Sue Lyon chosen
    Sue Lyon was an American actress best known for her provocative title role in Stanley Kubrick’s film "Lolita" (1962).
  • B. Anne Baxter
    Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
  • C. Madlyn Rhue
    Madlyn Rhue was an American film and television actress best known for her numerous guest roles on popular series from the 1950s through the 1980s, including a memorable appearance on the original Star Trek.
  • D. Noel Neill
    Noel Neill was an American actress best known for playing Lois Lane in the classic Superman film serials and the 1950s television series "Adventures of Superman."
  • E. Sharon Reed
    Sharon Reed is a visual effects industry professional best known as one of the founders of the renowned VFX and creative studio Framestore.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898daf02481908c61f00289dc5395 completed April 22, 2026, 9:46 a.m.
Created at: April 16, 2026, 4:43 p.m.