Triple

T5616676
Position Surface form Disambiguated ID Type / Status
Subject William Gage E147494 entity
Predicate hasGivenName P17 FINISHED
Object William E772 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: William | Statement: [William Gage, hasGivenName, William]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William
Context triple: [William Gage, hasGivenName, William]
  • A. William chosen
    William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • B. Thomas
    Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
  • C. Thomas
    Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking and many other cultures.
  • D. Thomas
    Thomas is the given name of the American novelist Thomas Wolfe, known for his expansive, autobiographical fiction such as "Look Homeward, Angel."
  • E. Thomas
    Thomas is the given first name of American folk singer-songwriter Tom Paxton, known for his influential protest and contemporary folk songs.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021da7f848190bb1cd0270ad6398f completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d55b95c8190a5f3e2c05249c136 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:39 p.m.