Triple

T1796570
Position Surface form Disambiguated ID Type / Status
Subject Philip J. Klass Award E39616 entity
Predicate notableRecipient P108 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: [Philip J. Klass Award, notableRecipient, Susan Blackmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Blackmore
Context triple: [Philip J. Klass Award, notableRecipient, 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. Susan Sherwin
    Susan Sherwin is a Canadian feminist philosopher and bioethicist known for her influential work on ethics, health care, and women's autonomy.
  • C. Jill Esmond
    Jill Esmond was a British stage and film actress best known as the first wife of Laurence Olivier and for her work in early 20th-century theatre and cinema.
  • D. Maria Newman
    Maria Newman is an American composer and violinist known for her concert and film music, and as a member of the prominent Newman family of film composers.
  • E. Wendy Hall
    Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653ef7f481908226ff71afca672a completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d6cee88190b26814134037aba6 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.