Triple

T4650146
Position Surface form Disambiguated ID Type / Status
Subject Chet Helms E102272 entity
Predicate familyName P18 FINISHED
Object Helms E43168 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: Helms | Statement: [Chet Helms, familyName, Helms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helms
Context triple: [Chet Helms, familyName, Helms]
  • A. Helms chosen
    Helms is the surname of American actor and comedian Ed Helms, known for his roles in The Office and The Hangover film series.
  • B. Lohse
    Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
  • C. Thomas Green Clemson
    Thomas Green Clemson was a 19th-century American politician, diplomat, and agriculturalist whose bequest led to the creation of Clemson University in South Carolina.
  • D. Griese
    Griese is a surname most prominently associated with Bob Griese, the Hall of Fame American football quarterback.
  • E. Vince Dooley
    Vince Dooley was a highly successful and long-tenured American college football coach and athletic director best known for leading the University of Georgia Bulldogs to national prominence, including the 1980 national championship.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6302078081909451589d39c7b28c completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae3d8f4819082ec002bc4d9819d completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.