Triple

T10293576
Position Surface form Disambiguated ID Type / Status
Subject Aaron Paul E241425 entity
Predicate film P9968 FINISHED
Object Smashed E508801 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: Smashed | Statement: [Aaron Paul, film, Smashed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smashed
Context triple: [Aaron Paul, film, Smashed]
  • A. Smashed
    Smashed is a memoir by Jonathan Schwartz that recounts his personal experiences and struggles, likely focusing on themes of addiction and recovery.
  • B. Smashed chosen
    Smashed is an independent film produced by Andrea Sperling, best known as a raw, character-driven drama about addiction and recovery.
  • C. The Hurt Inside
    "The Hurt Inside" is a song featured on the Weeknd's critically acclaimed 2020 album "After Hours."
  • D. Love Kills
    "Love Kills" is a song by the Ramones from their 1986 album *Animal Boy*, inspired by the story of Sid Vicious and Nancy Spungen.
  • E. The Intoxicated
    "The Intoxicated" is a short story by Shirley Jackson that explores themes of disillusionment and existential dread through a late-night conversation between a drunken man and a disturbingly clear-eyed teenage girl.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d46fb08190b7694290692e47dc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d1c180481909ca9983e14cbb931 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:42 a.m.