Triple

T14668059
Position Surface form Disambiguated ID Type / Status
Subject Nina E344432 entity
Predicate shortFormOf P43 FINISHED
Object Antonina E555792 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: Antonina | Statement: [Nina, shortFormOf, Antonina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonina
Context triple: [Nina, shortFormOf, Antonina]
  • A. Antonina chosen
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • B. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • C. Antonina
    Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
  • D. Antónia
    Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
  • E. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07c7fa88190bb09f2f444d69786 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.