Triple

T22208733
Position Surface form Disambiguated ID Type / Status
Subject Vincent Lauria E548884 entity
Predicate mentor P3665 FINISHED
Object Fast Eddie Felson 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: Fast Eddie Felson | Statement: [Vincent Lauria, mentor, Fast Eddie Felson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fast Eddie Felson
Context triple: [Vincent Lauria, mentor, Fast Eddie Felson]
  • A. Fast Eddie Felson chosen
    Fast Eddie Felson is a charismatic, fiercely competitive pool hustler best known as the central character of the films "The Hustler" and "The Color of Money."
  • B. Eddie
    Eddie is the shipboard computer with a relentlessly cheerful personality from Douglas Adams' science fiction series "The Hitchhiker's Guide to the Galaxy."
  • C. Eddie
    Eddie is a fictional character from Bruce Springsteen’s song “Meeting Across the River,” portrayed as a small-time hustler hoping for one last chance at a big score.
  • D. Eddie
    Eddie is a dim-witted but good-natured Springfield police officer and sidekick to Chief Wiggum on the animated TV series "The Simpsons."
  • E. Eddie
    Eddie is a minor character in John Steinbeck’s novel "Cannery Row," portrayed as one of the men who frequent the local flophouse and help define the book’s down-and-out yet tight-knit community.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b29eb808190ab8abaa1e0e354fa completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.