Triple

T22972894
Position Surface form Disambiguated ID Type / Status
Subject Looking for Alibrandi E571235 entity
Predicate screenwriter P2831 FINISHED
Object Melina Marchetta 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: Melina Marchetta | Statement: [Looking for Alibrandi, screenwriter, Melina Marchetta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melina Marchetta
Context triple: [Looking for Alibrandi, screenwriter, Melina Marchetta]
  • A. Melina Marchetta chosen
    Melina Marchetta is an Australian author best known for her acclaimed young adult novels that explore identity, family, and cultural heritage.
  • B. Tanzie Marchetta
    Tanzie Marchetta is the fashion-obsessed teenage protagonist of the chick-lit novel "Material Girls," navigating high school, friendship, and personal identity amid a glamorous, consumer-driven world.
  • C. Jenna Marchetta
    Jenna Marchetta is the married name of Jenna Wade, a fictional character from the American television series "Dallas."
  • D. Jennifer Niven
    Jennifer Niven is an American author best known for her young adult novel "All the Bright Places," which explores themes of mental health, love, and loss.
  • E. Jenny Downham
    Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182343a448190a5259cdf721c9d04 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.