Triple

T4505179
Position Surface form Disambiguated ID Type / Status
Subject Euphoria E101315 entity
Predicate star P23405 FINISHED
Object Maude Apatow E403803 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: Maude Apatow | Statement: [Euphoria, star, Maude Apatow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maude Apatow
Context triple: [Euphoria, star, Maude Apatow]
  • A. Maude Apatow chosen
    Maude Apatow is an American actress known for her roles in film and television, including her breakout performance as Lexi Howard in the HBO series "Euphoria."
  • B. Iris Apatow
    Iris Apatow is an American actress known for her roles in film and television, particularly in projects directed or produced by her father, Judd Apatow.
  • C. Judd Apatow
    Judd Apatow is an American filmmaker, producer, and writer known for his influential work in modern comedy films and television series such as "The 40-Year-Old Virgin," "Knocked Up," and "Freaks and Geeks."
  • D. Nicholas Stoller
    Nicholas Stoller is a British-American filmmaker and screenwriter best known for directing and writing popular comedy films such as Forgetting Sarah Marshall and Neighbors.
  • E. Noah Baumbach
    Noah Baumbach is an American filmmaker and screenwriter known for his sharply observed, character-driven dramas and comedies such as "The Squid and the Whale," "Frances Ha," and "Marriage Story."
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fe17608190ae5dc27052b7c337 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9961ac8190954b2d352d2319fb completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:01 p.m.