Triple

T17208962
Position Surface form Disambiguated ID Type / Status
Subject Byron Stingily E417673 entity
Predicate givenName P17 FINISHED
Object Byron E646402 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: Byron | Statement: [Byron Stingily, givenName, Byron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byron
Context triple: [Byron Stingily, givenName, Byron]
  • A. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • B. Byron
    Byron is a small city in central Georgia, United States, known for its historic downtown and location along major transportation routes near Macon.
  • C. Byron
    Byron is the given first name of Ban Johnson, the influential early 20th-century American baseball executive who served as the founding president of the American League.
  • D. Byron chosen
    Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
  • E. Byron
    Byron is a surname of English origin borne by various notable individuals across fields such as literature, politics, and the arts.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc3b0ec8190b8c9fc401da5770c completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe0a28c8190a76b3a356f7e0478 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.