Triple

T20969707
Position Surface form Disambiguated ID Type / Status
Subject Irwin Rose E516461 entity
Predicate givenName P17 FINISHED
Object Irwin NE NERFINISHED

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: Irwin | Statement: [Irwin Rose, givenName, Irwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irwin
Context triple: [Irwin Rose, givenName, Irwin]
  • A. Irwin chosen
    Irwin is a masculine given name and surname of English origin, historically associated with various notable figures in fields such as entertainment, science, and politics.
  • B. Irvin
    Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
  • C. Darvin
    Darvin is a masculine given name most notably borne by former NBA player and current basketball coach Darvin Ham.
  • D. Imrie
    Imrie is a Scottish surname borne by various notable individuals, including actors, athletes, and public figures.
  • E. Vargo
    Vargo is a surname most notably associated with Ed Vargo, an American Major League Baseball umpire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9f53e88190847f93e0bbca6ea0 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:43 p.m.