Triple

T3121131
Position Surface form Disambiguated ID Type / Status
Subject Frank Lucas E65185 entity
Predicate fullName P16 FINISHED
Object Frank Lucas E65185 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: Frank Lucas | Statement: [Frank Lucas, fullName, Frank Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Lucas
Context triple: [Frank Lucas, fullName, Frank Lucas]
  • A. Frank Lucas chosen
    Frank Lucas was a notorious Harlem drug kingpin in the late 1960s and early 1970s, known for building a heroin empire and later becoming a key government informant.
  • B. Willie Sutton
    Willie Sutton was a notorious 20th-century American bank robber famed for his multiple prison escapes and the apocryphal quote that he robbed banks "because that's where the money is."
  • C. Henry Bowers
    Henry Bowers is a sadistic teenage bully and one of the primary human antagonists in the 2017 horror film adaptation of Stephen King’s "It."
  • D. Charlie Croker
    Charlie Croker is the charismatic mastermind thief who leads a high-stakes gold heist in the 2003 film "The Italian Job."
  • E. Mal Cobb
    Mal Cobb is a central character in the film "Inception," known as Dom Cobb's deceased wife whose haunting presence blurs the line between reality and dream in his subconscious.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5295cd481908d52e165538c67fa completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f6bc644819093a7cab7220f4ca0 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.