Triple

T2004560
Position Surface form Disambiguated ID Type / Status
Subject Boris Godunov E43550 entity
Predicate character P662 FINISHED
Object Xenia E158990 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: Xenia | Statement: [Boris Godunov, character, Xenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xenia
Context triple: [Boris Godunov, character, Xenia]
  • A. Xenia chosen
    Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
  • B. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • C. Helena
    Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
  • D. Helena
    Helena, also known as Saint Helena, was the mother of Roman Emperor Constantine the Great and is traditionally credited with finding the True Cross and promoting Christianity within the Roman Empire.
  • E. Xerini
    Xerini is a tribe of ground-dwelling squirrels known for their burrowing habits and adaptation to open, often arid habitats.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89717c88190ba506134c671d386 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0adcd2708190b126e3872679d88c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.