Triple

T6977543
Position Surface form Disambiguated ID Type / Status
Subject Prince George William of Great Britain E161751 entity
Predicate givenName P17 FINISHED
Object George William E204354 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: George William | Statement: [Prince George William of Great Britain, givenName, George William]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George William
Context triple: [Prince George William of Great Britain, givenName, George William]
  • A. George William chosen
    George William was a 17th-century German prince of the House of Welf who ruled the Principality of Lüneburg within the Holy Roman Empire.
  • B. George Arthur
    George Arthur was a 19th-century British colonial administrator best known for his conservative and often controversial governance in British North America and Australia.
  • C. George William Hamilton
    George William Hamilton was the son of American actor George Hamilton.
  • D. George Fitzmaurice
    George Fitzmaurice was an Irish-American film director best known for his work during the silent and early sound eras of Hollywood cinema.
  • E. George Howard
    George Howard is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Howard.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761af5bb48190af430e961efb34fb completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:31 p.m.