Triple

T8320850
Position Surface form Disambiguated ID Type / Status
Subject Gregor E194828 entity
Predicate relatedName P3889 FINISHED
Object Gregoriy E50625 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: Gregoriy | Statement: [Gregor, relatedName, Gregoriy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregoriy
Context triple: [Gregor, relatedName, Gregoriy]
  • A. Gregorius
    Gregorius was a Roman jurist traditionally credited with compiling the Codex Gregorianus, one of the earliest systematic collections of imperial legal constitutions.
  • B. Gregory chosen
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • C. Gregory
    Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
  • D. Konstantin
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • E. Gregorios
    Gregorios is a variant form of the given name Gregory, commonly used in Greek and related linguistic traditions.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f67aee88190b245f8d6e57a40b2 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95a058948190b056d9b0f0607933 completed April 1, 2026, 10:01 p.m.
Created at: March 30, 2026, 5:55 p.m.