Triple

T23099039
Position Surface form Disambiguated ID Type / Status
Subject Ted Bundy E575974 entity
Predicate fullName P16 FINISHED
Object Theodore Robert Bundy 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: Theodore Robert Bundy | Statement: [Ted Bundy, fullName, Theodore Robert Bundy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore Robert Bundy
Context triple: [Ted Bundy, fullName, Theodore Robert Bundy]
  • A. Ted Bundy chosen
    Ted Bundy was an infamous American serial killer active in the 1970s, known for his charm, intelligence, and brutal murders of numerous young women across multiple states.
  • B. Charles Starkweather
    Charles Starkweather was a 1950s American spree killer whose notorious murder rampage with his teenage girlfriend inspired numerous films and fictional characters.
  • C. David Berkowitz
    David Berkowitz, also known as the "Son of Sam," is an American serial killer who terrorized New York City in the 1970s with a series of shootings.
  • D. Richard Speck
    Richard Speck was an American mass murderer infamous for the 1966 killings of eight student nurses in Chicago.
  • E. John Wayne Gacy
    John Wayne Gacy was an American serial killer and sex offender notorious for murdering numerous young men and boys in the 1970s, often while performing in public as a clown.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de71a088190b91918e6c4ea6e97 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.