Triple

T9801135
Position Surface form Disambiguated ID Type / Status
Subject Mickey Rourke E237839 entity
Predicate notableWork P4 FINISHED
Object Barfly E586393 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: Barfly | Statement: [Mickey Rourke, notableWork, Barfly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barfly
Context triple: [Mickey Rourke, notableWork, Barfly]
  • A. Barfly chosen
    Barfly is a 1987 semi-autobiographical drama film depicting the hard-drinking, bohemian life of a Los Angeles barfly, written by Charles Bukowski and starring Mickey Rourke and Faye Dunaway.
  • B. Honey Boy
    Honey Boy is a 2019 semi-autobiographical drama film written by and starring Shia LaBeouf, depicting a child actor’s turbulent relationship with his father.
  • C. Dirty Frank
    Dirty Frank is a funk-influenced, darkly humorous Pearl Jam song known for its quirky lyrics and jam-band style experimentation.
  • D. Thunderbitch
    Thunderbitch is a rock side project and band fronted by Alabama Shakes singer and guitarist Brittany Howard, known for its raw, garage-rock sound and theatrical persona.
  • E. Blow
    Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.