Triple

T13269527
Position Surface form Disambiguated ID Type / Status
Subject George Moscone E316017 entity
Predicate killedBy P4646 FINISHED
Object Dan White E722050 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: Dan White | Statement: [George Moscone, killedBy, Dan White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan White
Context triple: [George Moscone, killedBy, Dan White]
  • A. Dan White chosen
    Dan White was a former San Francisco city supervisor best known for assassinating Mayor George Moscone and fellow supervisor Harvey Milk in 1978.
  • B. Richard Speck
    Richard Speck was an American mass murderer infamous for the 1966 killings of eight student nurses in Chicago.
  • C. Charles Starkweather
    Charles Starkweather was a 1950s American spree killer whose notorious murder rampage with his teenage girlfriend inspired numerous films and fictional characters.
  • D. Mark Chapman
    Mark Chapman is a British sports broadcaster best known for his work presenting football coverage on BBC television and radio.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901f59888190b8147836d2fcac5e completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4e98888190af5cb857b2437f09 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.