Triple

T14300011
Position Surface form Disambiguated ID Type / Status
Subject John George Stickley E354536 entity
Predicate givenName P17 FINISHED
Object John George E378720 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: John George | Statement: [John George Stickley, givenName, John George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John George
Context triple: [John George Stickley, givenName, John George]
  • A. John George chosen
    John George was a prolific American character actor of the silent and early sound film era, often cast in supporting and ethnic roles.
  • B. John Louis
    John Louis was a 17th-century German count from the House of Nassau who ruled the small principality of Nassau-Hadamar within the Holy Roman Empire.
  • C. John Palmer
    John Palmer was the pseudonymous author behind the novel "The House of Dr. Edwardes," later adapted into Alfred Hitchcock’s film "Spellbound."
  • D. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • E. John Palmer
    John Palmer was an English architect best known for his work on ecclesiastical buildings in the late 18th and early 19th centuries.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2697648190beade47df424a9e5 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.