Triple

T3805698
Position Surface form Disambiguated ID Type / Status
Subject Dying to Live: Near-Death Experiences E93001 entity
Predicate author P4 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: [Dying to Live: Near-Death Experiences, author, Susan Blackmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Blackmore
Context triple: [Dying to Live: Near-Death Experiences, author, 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. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • C. 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.
  • D. Donna Toulmin
    Donna Toulmin is known as the wife of British philosopher Stephen Toulmin, associated with his personal and academic life.
  • E. Susan Sherwin
    Susan Sherwin is a Canadian feminist philosopher and bioethicist known for her influential work on ethics, health care, and women's autonomy.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee7bd95e881908649ce512f7470b0 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c70a98081908e86293f7e684649 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:16 p.m.