Triple

T14668060
Position Surface form Disambiguated ID Type / Status
Subject Nina E344432 entity
Predicate shortFormOf P43 FINISHED
Object Giannina E749669 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: Giannina | Statement: [Nina, shortFormOf, Giannina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giannina
Context triple: [Nina, shortFormOf, Giannina]
  • A. Giannina chosen
    Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
  • B. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • C. Vassiliki
    Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
  • D. Eugeneia
    Eugeneia is an alternative spelling or variant form of the given name Eugenia, which is derived from Greek and traditionally associated with nobility or good birth.
  • E. Eleni
    Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
  • 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.