Triple

T4105401
Position Surface form Disambiguated ID Type / Status
Subject George Croom Robertson E88436 entity
Predicate editorOf P1954 FINISHED
Object Mind E13833 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: Mind | Statement: [George Croom Robertson, editorOf, Mind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mind
Context triple: [George Croom Robertson, editorOf, Mind]
  • A. Mind chosen
    Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
  • B. Illmind
    Illmind is a Filipino-American hip-hop producer and songwriter known for his work with major artists and contributions to both mainstream rap and underground music.
  • C. The Human Brain
    The Human Brain is a popular science book by Isaac Asimov that explains the structure, function, and mysteries of the human brain for a general audience.
  • D. Other Minds
    Other Minds is a philosophical work by J. L. Austin that examines how we talk about and justify knowledge of other people's mental states.
  • E. Gray Matter
    "Gray Matter" is a horror short story by Stephen King that follows a man’s grotesque transformation after drinking a contaminated can of beer.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd328a3c81908312d7b77f82660b completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7f88948190b87242e706a488c0 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.