Triple

T22186152
Position Surface form Disambiguated ID Type / Status
Subject Tanaquil E548301 entity
Predicate hasNameInOriginalLanguage P29322 FINISHED
Object Tanaquil 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: Tanaquil | Statement: [Tanaquil, hasNameInOriginalLanguage, Tanaquil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanaquil
Context triple: [Tanaquil, hasNameInOriginalLanguage, Tanaquil]
  • A. Tanaquil
    Tanaquil was a celebrated American ballerina and principal dancer with the New York City Ballet, renowned for her collaborations with George Balanchine in the mid-20th century.
  • B. Leontia
    Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
  • C. Tanaquil (traditional attribution) chosen
    Tanaquil is a semi-legendary Etruscan noblewoman in early Roman tradition, renowned for her political influence and prophetic abilities in shaping Rome’s monarchy.
  • D. Katerina
    Katerina is a novel by Israeli writer Aharon Appelfeld that explores themes of memory, identity, and Jewish–Gentile relations in pre- and post-Holocaust Eastern Europe.
  • E. Katerina
    Katerina is the determined and ambitious female protagonist of the Soviet film "Moscow Does Not Believe in Tears," whose life story traces her struggles and eventual success in Moscow over several decades.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa8f178819094d1556df5aee5b9 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.