Triple

T8864333
Position Surface form Disambiguated ID Type / Status
Subject Mary Catherine Bateson E210975 entity
Predicate familyName P18 FINISHED
Object Bateson E113514 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: Bateson | Statement: [Mary Catherine Bateson, familyName, Bateson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bateson
Context triple: [Mary Catherine Bateson, familyName, Bateson]
  • A. Bateson chosen
    Bateson is an English surname most notably associated with William Bateson, a pioneering biologist who helped establish and popularize the science of genetics.
  • B. Gregory Bateson
    Gregory Bateson was an English anthropologist, social scientist, and cyberneticist known for his work on systems theory, communication, and the ecology of mind.
  • C. Talcott
    Talcott is a given name most notably associated with American sociologist Talcott Parsons, a key figure in 20th-century social theory.
  • D. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • E. Skinner
    Skinner is a fictional member of the J-Squad military unit in the science fiction film "Edge of Tomorrow."
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610569d08190b108107dfe397f18 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0caccd88190b6464f53d0239e47 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.