Triple

T13945550
Position Surface form Disambiguated ID Type / Status
Subject Ivo Thomas E335372 entity
Predicate givenName P17 FINISHED
Object Ivo E506886 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: Ivo | Statement: [Ivo Thomas, givenName, Ivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivo
Context triple: [Ivo Thomas, givenName, Ivo]
  • A. Ivo chosen
    Ivo is a masculine given name, commonly used in various European countries and often derived as a short form of longer Germanic or Slavic names.
  • B. Ivo Viktor
    Ivo Viktor is a legendary Czechoslovak goalkeeper best known for starring in the 1976 European Championship–winning team and being regarded as one of the finest keepers of his era.
  • C. Danilo
    Danilo is a masculine given name used in various Slavic and Romance languages, generally equivalent to Daniel and meaning "God is my judge."
  • D. Ivan Julian
    Ivan Julian is an American guitarist, songwriter, and producer best known as a founding member of the influential New York punk band Richard Hell and the Voidoids.
  • E. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e10f60c81908ee9636e85c070ff completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce903c5c8190b72d83a5b842ad70 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.