Triple

T8503573
Position Surface form Disambiguated ID Type / Status
Subject Committee for Skeptical Inquiry E201280 entity
Predicate hasKeyPerson P256 FINISHED
Object Susan Blackmore E16539 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: Susan Blackmore | Statement: [Committee for Skeptical Inquiry, hasKeyPerson, Susan Blackmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Blackmore
Context triple: [Committee for Skeptical Inquiry, hasKeyPerson, Susan Blackmore]
  • A. Susan Blackmore chosen
    Susan Blackmore is a British psychologist, writer, and skeptic best known for her work on consciousness, memes, and the scientific investigation of paranormal claims.
  • B. Carol Vessey
    Carol Vessey is a fictional high school teacher and love interest of the title character in the television series "Ed."
  • C. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • D. Diana Gould
    Diana Gould was a British ballerina and actress best known for her distinguished dance career and her marriage to renowned violinist Yehudi Menuhin.
  • E. Susan Greenfield
    Susan Greenfield is a British neuroscientist, author, and broadcaster known for her work on consciousness and the effects of technology on the brain.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe59d67d081908155a43b9b463fe3 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e26a3108190a48b00c2927be971 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:14 p.m.