Triple

T23444022
Position Surface form Disambiguated ID Type / Status
Subject Lili Fini Zanuck E565483 entity
Predicate producerOf P490 FINISHED
Object Clean and Sober 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: Clean and Sober | Statement: [Lili Fini Zanuck, producerOf, Clean and Sober]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clean and Sober
Context triple: [Lili Fini Zanuck, producerOf, Clean and Sober]
  • A. Clean and Sober chosen
    Clean and Sober is a 1988 drama film in which Michael Keaton plays a real-estate agent struggling with cocaine addiction and entering rehab, marking one of his first major serious, non-comedic roles.
  • B. Soberish
    Soberish is a 2021 studio album by American singer-songwriter Liz Phair that marks her return to indie rock after a long hiatus.
  • C. “Sober”
    “Sober” is a pop song produced by DJ Frank E, best known for its polished, radio-friendly sound and emotionally charged lyrics.
  • D. Stone Cold Sober
    "Stone Cold Sober" is a soul-pop song by British singer Paloma Faith that served as her debut single and introduced her distinctive retro-influenced style.
  • E. Sober
    "Sober" is a soulful, genre-blending R&B/hip-hop track by Childish Gambino known for its smooth vocals, emotional lyrics, and inventive production.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.