Triple

T5433639
Position Surface form Disambiguated ID Type / Status
Subject Targets E121554 entity
Predicate writer P1360 FINISHED
Object Polly Platt E280416 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: Polly Platt | Statement: [Targets, writer, Polly Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polly Platt
Context triple: [Targets, writer, Polly Platt]
  • A. Polly Platt chosen
    Polly Platt was an influential American film producer, production designer, and screenwriter known for her key creative contributions to several acclaimed 1970s and 1980s films.
  • B. Marianne Gordon
    Marianne Gordon is an American actress best known for her film and television work in the 1960s–1980s and for her former marriage to country music star Kenny Rogers.
  • C. Harlene Rosen
    Harlene Rosen is an American woman best known as the first wife of filmmaker and comedian Woody Allen, to whom she was married in the 1950s.
  • D. Karen Prell
    Karen Prell is an American puppeteer and animator best known for her work with Jim Henson’s Muppets, including performing Red Fraggle on "Fraggle Rock" and contributing to films like "Labyrinth."
  • E. Patricia Russo
    Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ae18cc8190aefe610f91b5382c completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9ae43c008190894493f58195bc22 completed March 22, 2026, 7:31 a.m.
Created at: March 20, 2026, 2:06 p.m.