Triple

T5613859
Position Surface form Disambiguated ID Type / Status
Subject Peter Sarsgaard E147427 entity
Predicate notableWork P4 FINISHED
Object Dopesick E344141 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: Dopesick | Statement: [Peter Sarsgaard, notableWork, Dopesick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dopesick
Context triple: [Peter Sarsgaard, notableWork, Dopesick]
  • A. Dopesick chosen
    Dopesick is a drama miniseries that explores the origins and devastating impact of the U.S. opioid crisis, focusing on the roles of pharmaceutical companies, doctors, and law enforcement.
  • B. Dopium
    Dopium is the debut solo studio album by Wu-Tang Clan member U-God, showcasing his gritty lyrical style over dark, hard-hitting production.
  • C. Junkie
    "Junkie" is a semi-autobiographical novel by William S. Burroughs that offers a stark, firsthand portrayal of drug addiction and urban underworld life, and is considered an early landmark of the Beat Generation.
  • D. Black Opium
    Black Opium is a popular Yves Saint Laurent fragrance known for its modern, addictive blend of coffee, vanilla, and white florals.
  • E. La Adicción
    La Adicción is the passionate and famously intense supporter group of the Mexican football club C.F. Monterrey.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287b14708190bc246e982896ad27 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.