Triple

T19280269
Position Surface form Disambiguated ID Type / Status
Subject Zurab Zhvania E482168 entity
Predicate givenName P17 FINISHED
Object Zurab 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: Zurab | Statement: [Zurab Zhvania, givenName, Zurab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurab
Context triple: [Zurab Zhvania, givenName, Zurab]
  • A. Zurab chosen
    Zurab is a masculine given name of Georgian origin, notably borne by sculptor and architect Zurab Tsereteli.
  • B. Merab
    Merab is a figure in the Hebrew Bible known as one of King Saul’s daughters in the early monarchy of ancient Israel.
  • C. Avtandil
    Avtandil is the noble and valiant Georgian knight who serves as the central hero of Shota Rustaveli’s medieval epic poem "The Knight in the Panther’s Skin."
  • D. Giorgi
    Giorgi is an Italian surname borne by various individuals, including those with the given name Francesco.
  • E. Giorgi
    Giorgi is the Georgian given name of Giorgi Balanchivadze, the birth name of famed choreographer George Balanchine.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbfdfaf481909e0434f33053cc62 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.