Triple

T12278732
Position Surface form Disambiguated ID Type / Status
Subject Helen Roper E292658 entity
Predicate portrayedBy P1507 FINISHED
Object Audra Lindley E827163 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: Audra Lindley | Statement: [Helen Roper, portrayedBy, Audra Lindley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audra Lindley
Context triple: [Helen Roper, portrayedBy, Audra Lindley]
  • A. Audra Lindley chosen
    Audra Lindley was an American actress best known for her role as the quirky landlady Helen Roper on the television sitcom "Three's Company" and its spin-off "The Ropers."
  • B. Adrienne Keith
    Adrienne Keith is known as the spouse of British scientist, author, and television presenter Adam Hart-Davis.
  • C. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • D. Lea Hurst
    Lea Hurst is a historic country house in Derbyshire, England, best known as the childhood home of Florence Nightingale.
  • E. Lucinda Franks
    Lucinda Franks was a Pulitzer Prize–winning American journalist and author known for her investigative reporting and memoirs.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f1e29c8190b073c3293cf68cb2 completed May 3, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:52 p.m.