Triple

T9345270
Position Surface form Disambiguated ID Type / Status
Subject Dermot Crowley E224872 entity
Predicate familyName P18 FINISHED
Object Crowley E541444 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: [Dermot Crowley, familyName, Crowley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crowley
Context triple: [Dermot Crowley, familyName, Crowley]
  • A. Crowley chosen
    Crowley is a surname most famously associated with Aleister Crowley, the English occultist, writer, and ceremonial magician.
  • B. Crowley
    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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:41 p.m.