Triple

T16004861
Position Surface form Disambiguated ID Type / Status
Subject Norman Bates E388190 entity
Predicate basedOn P98 FINISHED
Object Ed Gein E554540 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: Ed Gein | Statement: [Norman Bates, basedOn, Ed Gein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Gein
Context triple: [Norman Bates, basedOn, Ed Gein]
  • A. Ed Gein chosen
    Ed Gein was a notorious American murderer and body snatcher whose gruesome crimes inspired numerous fictional killers in popular culture.
  • B. Dennis Rader
    Dennis Rader is an American serial killer, known as the BTK Killer, who murdered ten people in Kansas between 1974 and 1991 while taunting authorities with letters.
  • C. Jeffrey Dahmer
    Jeffrey Dahmer was an American serial killer and sex offender notorious for murdering and dismembering 17 young men and boys between 1978 and 1991.
  • D. Silas Laurence Loomis
    Silas Laurence Loomis was a 19th-century American physician, inventor, and educator known for his contributions to medical science and technological innovation.
  • E. James Carroll Beckwith
    James Carroll Beckwith was an American portrait and genre painter of the late 19th and early 20th centuries, known for his refined academic style and contributions to the New York art scene.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.