Triple

T15435388
Position Surface form Disambiguated ID Type / Status
Subject Eddie Lopat E369747 entity
Predicate nickname P55 FINISHED
Object The Junk Man E369747 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: The Junk Man | Statement: [Eddie Lopat, nickname, The Junk Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Junk Man
Context triple: [Eddie Lopat, nickname, The Junk Man]
  • A. The Junk Man chosen
    The Junk Man is the nickname of Eddie Lopat, a former Major League Baseball pitcher and manager best known as a crafty left-hander for the New York Yankees in the 1940s and 1950s.
  • B. Junky
    Junky is a semi-autobiographical novel by William S. Burroughs that candidly chronicles heroin addiction and the American drug underworld in the mid-20th century.
  • C. Junky Man
    "Junky Man" is a song by Jim Carroll from his 1980 album *Catholic Boy*, reflecting his gritty, autobiographical style and themes of addiction and urban decay.
  • D. The Bag Man
    The Bag Man is a 2014 neo-noir crime thriller film starring John Cusack and Robert De Niro, centered on a hitman tasked with retrieving a mysterious bag at a remote motel.
  • E. The Janitor
    The Janitor is a mysterious, prank-loving hospital custodian in the TV series "Scrubs," known for tormenting J.D. with elaborate jokes and deadpan humor.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.