Triple

T9982702
Position Surface form Disambiguated ID Type / Status
Subject Valentina Tereshkova E196491 entity
Predicate givenName P17 FINISHED
Object Valentina E216751 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: Valentina | Statement: [Valentina Tereshkova, givenName, Valentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentina
Context triple: [Valentina Tereshkova, givenName, Valentina]
  • A. Valentina chosen
    Valentina is a feminine given name of Latin origin, commonly used in various countries and associated with meanings related to strength and health.
  • B. Valeria
    Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
  • C. Valeria
    Valeria is the honorific epithet associated with the ancient Roman legion Legio XX Valeria Victrix, reflecting its distinguished status and achievements.
  • D. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • E. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257e888908190a7187e26ba025a44 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.