Triple

T3772088
Position Surface form Disambiguated ID Type / Status
Subject Juno E83220 entity
Predicate producer P490 FINISHED
Object Lianne Halfon E267897 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: Lianne Halfon | Statement: [Juno, producer, Lianne Halfon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lianne Halfon
Context triple: [Juno, producer, Lianne Halfon]
  • A. Lianne Halfon chosen
    Lianne Halfon is an American film producer known for her work on acclaimed independent films such as "Juno," "Young Adult," and "Ghost World."
  • B. Leora Watts
    Leora Watts is a bold, sexually assertive landlady in Flannery O’Connor’s novel "Wise Blood," known for her coarse humor and role in challenging the protagonist’s religious obsessions.
  • C. Adrienne Fazan
    Adrienne Fazan was an American film editor best known for her long collaboration with MGM and director Vincente Minnelli, including work on classic Hollywood musicals.
  • D. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • E. Rachael Horovitz
    Rachael Horovitz is an American film and television producer known for her work on acclaimed projects such as the series "Patrick Melrose."
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f039cd9c81908ea1428f2c328cdb completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:36 p.m.