Triple

T10457628
Position Surface form Disambiguated ID Type / Status
Subject Girls E246586 entity
Predicate portrayedBy P1507 FINISHED
Object Zosia Mamet E151339 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: Zosia Mamet | Statement: [Girls, portrayedBy, Zosia Mamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zosia Mamet
Context triple: [Girls, portrayedBy, Zosia Mamet]
  • A. Zosia Mamet chosen
    Zosia Mamet is an American actress best known for her role as the eccentric and fast-talking Shoshanna Shapiro on the HBO series "Girls."
  • B. Clara Mamet
    Clara Mamet is an American actress, playwright, and screenwriter known for her work in independent film and theater and as the daughter of playwright David Mamet.
  • C. Olivia Mazursky
    Olivia Mazursky is a member of the Mazursky family connected to Zack Mazursky, a figure known from the real-life kidnapping and murder case that inspired the film "Alpha Dog."
  • D. Deborah Lurie
    Deborah Lurie is an American composer and arranger known for her work on numerous film scores and soundtracks.
  • E. Ronit Matalon
    Ronit Matalon was an Israeli author known for her innovative Hebrew prose that explored themes of identity, family, and Mizrahi experience in contemporary Israeli society.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.