Triple

T9488910
Position Surface form Disambiguated ID Type / Status
Subject Irvin E228832 entity
Predicate hasVariant P455 FINISHED
Object Ervin E114594 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: Ervin | Statement: [Irvin, hasVariant, Ervin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ervin
Context triple: [Irvin, hasVariant, Ervin]
  • A. Ervin chosen
    Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
  • B. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • C. Dan Knechtges
    Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
  • D. Newt Geiszler
    Newt Geiszler is a quirky, hyper-intelligent kaiju-obsessed scientist and former PPDC researcher in the Pacific Rim film series.
  • E. Hurd Hatfield
    Hurd Hatfield was an American actor best known for his haunting title role in the 1945 film adaptation of "The Picture of Dorian Gray."
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.