Triple

T14934446
Position Surface form Disambiguated ID Type / Status
Subject George E372351 entity
Predicate hasCognate P2525 FINISHED
Object Giorgi E762095 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: Giorgi | Statement: [George, hasCognate, Giorgi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giorgi
Context triple: [George, hasCognate, Giorgi]
  • A. Giorgi
    Giorgi is an Italian surname borne by various individuals, including those with the given name Francesco.
  • B. Giorgi chosen
    Giorgi is the Georgian given name of Giorgi Balanchivadze, the birth name of famed choreographer George Balanchine.
  • C. Jorjadze
    Jorjadze is a Georgian noble family name historically associated with aristocracy, landownership, and cultural influence in Georgia.
  • D. Giorgi Chanturia
    Giorgi Chanturia was a prominent Georgian politician and activist who played a key leadership role in Georgia’s late Soviet-era national independence movement.
  • E. Arsukidze
    Arsukidze was a medieval Georgian architect renowned as the master builder of the Svetitskhoveli Cathedral in Mtskheta.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.