Triple

T9602304
Position Surface form Disambiguated ID Type / Status
Subject Ante Gotovina E231878 entity
Predicate givenName P17 FINISHED
Object Ante E193638 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: Ante | Statement: [Ante Gotovina, givenName, Ante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ante
Context triple: [Ante Gotovina, givenName, Ante]
  • A. Ante chosen
    Ante is a masculine given name of Croatian origin, commonly used in various South Slavic countries.
  • B. Antu
    Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
  • C. Antu
    Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
  • D. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • E. Anto
    Anto is a diminutive given name, commonly used as a short form of names like Anton or Antonio in various European and Slavic cultures.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5af8f0819089408ed630afa812 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161ab093c81908c9fd5fde6746284 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:08 p.m.