Triple

T20628589
Position Surface form Disambiguated ID Type / Status
Subject Ivo E506886 entity
Predicate relatedName P3889 FINISHED
Object Ives 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: Ives | Statement: [Ivo, relatedName, Ives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ives
Context triple: [Ivo, relatedName, Ives]
  • A. Ives chosen
    Ives is a surname of English origin borne by various notable individuals across fields such as music, politics, and the arts.
  • B. Ives
    Ives is a key supporting character in Christopher Nolan’s film "Tenet," serving as a seasoned military operative who assists the Protagonist in executing the complex time-inversion mission.
  • C. Charles Ives
    Charles Ives was an innovative American modernist composer known for his experimental use of dissonance, polytonality, and quotation of popular and hymn tunes, which made him a major pioneer of 20th-century classical music.
  • D. Ives & Myrick
    Ives & Myrick was an insurance agency co-founded by American composer Charles Ives, where he worked for much of his professional career outside music.
  • E. Ives Goddard
    Ives Goddard is an American linguist and anthropologist renowned for his expertise in Algonquian languages and Native American linguistics, and for his long association with the Smithsonian Institution.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe771e88190a48471bf83b4804d completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.