Triple

T22760748
Position Surface form Disambiguated ID Type / Status
Subject Puberty Blues E562979 entity
Predicate screenwriter P2831 FINISHED
Object Kathy Lette 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: Kathy Lette | Statement: [Puberty Blues, screenwriter, Kathy Lette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Lette
Context triple: [Puberty Blues, screenwriter, Kathy Lette]
  • A. Kathy Lette chosen
    Kathy Lette is an Australian-born author and humorist known for her sharp, witty novels that often explore contemporary women's lives and relationships.
  • B. Katherine Lette
    Katherine Lette is an Australian-born author and humorist best known for her witty, feminist-leaning novels and sharp social commentary.
  • C. Pat Oliphant
    Pat Oliphant is an Australian-born American political cartoonist renowned for his sharp, often acerbic commentary and influential work in editorial cartooning.
  • D. Elizabeth Jolley
    Elizabeth Jolley was an acclaimed British-born Australian writer known for her darkly comic, psychologically complex novels and short stories that often explore loneliness, eccentricity, and moral ambiguity.
  • E. Lyn Murray
    Lyn Murray was a film and television composer and conductor best known for his work in mid-20th-century Hollywood, including scores for suspense and adventure films.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7c45b881908b29ba1439038789 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.