Triple

T20975051
Position Surface form Disambiguated ID Type / Status
Subject Jonathan son of Saul E516602 entity
Predicate sibling P363 FINISHED
Object Merab 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: Merab | Statement: [Jonathan son of Saul, sibling, Merab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merab
Context triple: [Jonathan son of Saul, sibling, Merab]
  • A. Merab chosen
    Merab is a figure in the Hebrew Bible known as one of King Saul’s daughters in the early monarchy of ancient Israel.
  • B. Zurab
    Zurab is a masculine given name of Georgian origin, notably borne by sculptor and architect Zurab Tsereteli.
  • C. Ivane
    Ivane is a Georgian given name most notably borne by historian Ivane Javakhishvili, a key figure in the study of Georgia’s history and culture.
  • D. Merab Kostava
    Merab Kostava was a prominent Georgian dissident, musician, and national independence activist who became a symbol of resistance to Soviet rule.
  • E. 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."
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba307d88190b728544d1b6d0bb6 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:46 p.m.