Triple

T985429
Position Surface form Disambiguated ID Type / Status
Subject Bugsy E21267 entity
Predicate birthName P65 FINISHED
Object Benjamin Siegel E3124 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: Benjamin Siegel | Statement: [Bugsy, birthName, Benjamin Siegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Siegel
Context triple: [Bugsy, birthName, Benjamin Siegel]
  • A. Benjamin "Bugsy" Siegel chosen
    Benjamin "Bugsy" Siegel was a notorious American mobster and key architect of organized crime’s expansion into Las Vegas, becoming one of the most infamous figures of the early 20th-century underworld.
  • B. Richard Loeb
    Richard Loeb was an American university student and one of the infamous "Leopold and Loeb" duo who committed a highly publicized 1924 murder in Chicago.
  • C. Arthur Barker
    Arthur Barker was a notorious American criminal and member of the Barker–Karpis gang during the 1930s.
  • D. Meyer Lansky
    Meyer Lansky was a major American organized crime figure and financial mastermind who helped build the National Crime Syndicate and modernize the mob’s gambling operations.
  • E. Albert West
    Albert West was an associate of Mahatma Gandhi and an early supporter of his work in South Africa, contributing to Gandhi’s newspaper Indian Opinion and assisting in the development of the Phoenix Settlement.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b496b7308190a9c201244330b784 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a14aec48190bc620cf492a82466 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.