Triple

T15008171
Position Surface form Disambiguated ID Type / Status
Subject Anathema Device E377761 entity
Predicate associatedWith P37 FINISHED
Object Crowley E506683 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: Crowley | Statement: [Anathema Device, associatedWith, Crowley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crowley
Context triple: [Anathema Device, associatedWith, Crowley]
  • A. Crowley
    Crowley is a surname most famously associated with Aleister Crowley, the English occultist, writer, and ceremonial magician.
  • B. Crowley chosen
    Crowley is the charismatic, sardonic demon and central character from Neil Gaiman and Terry Pratchett’s "Good Omens," known for his unlikely friendship with the angel Aziraphale and his reluctance to fully embrace evil.
  • C. Crowley
    Crowley is a suburban city located within the greater Dallas–Fort Worth metropolitan area in Texas.
  • D. Dillon
    Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
  • E. Dillon
    Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.