Triple

T1697750
Position Surface form Disambiguated ID Type / Status
Subject Anton Rodgers E36696 entity
Predicate familyName P18 FINISHED
Object Rodgers E36063 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: Rodgers | Statement: [Anton Rodgers, familyName, Rodgers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodgers
Context triple: [Anton Rodgers, familyName, Rodgers]
  • A. Rodgers chosen
    Rodgers is a surname of Scottish and Irish origin borne by various notable individuals across sports, entertainment, and other fields.
  • B. Rogers Morton
    Rogers Morton was an American Republican politician who served as U.S. Secretary of the Interior and later Secretary of Commerce in the 1970s.
  • C. Hank O’Day
    Hank O’Day was a prominent early 20th-century Major League Baseball umpire and former pitcher, best known for his long umpiring career and involvement in several historic games and controversies.
  • D. Rodriguez
    Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • E. Son Green
    Son Green is a central character in the novel "Tar Baby" by Toni Morrison, representing complex themes of identity, race, and cultural conflict.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62d2622c81908e39e07bf1117821 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad799ad838819087e945f47284a3b0 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:30 p.m.