Triple

T20338234
Position Surface form Disambiguated ID Type / Status
Subject Antal Doráti E495670 entity
Predicate givenName P17 FINISHED
Object Antal 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: Antal | Statement: [Antal Doráti, givenName, Antal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antal
Context triple: [Antal Doráti, givenName, Antal]
  • A. Antal chosen
    Antal is a Hungarian given name most notably borne by the renowned conductor and composer Antal Doráti.
  • B. Antall
    Antall is a Hungarian surname most prominently associated with József Antall, the first democratically elected Prime Minister of Hungary after the fall of communism.
  • C. Assante
    Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
  • D. Ange
    Ange is a French given name, historically borne by figures such as the Marquis de Duquesne and associated with French nobility and military leadership.
  • E. Anyós
    Anyós is a small village in the parish of La Massana in Andorra, known for its traditional architecture and scenic mountain surroundings.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678332bd08190a83880fb6aa32e08 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.