Triple

T9329784
Position Surface form Disambiguated ID Type / Status
Subject Olga San Juan E224486 entity
Predicate givenName P17 FINISHED
Object Olga E136344 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: Olga | Statement: [Olga San Juan, givenName, Olga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga
Context triple: [Olga San Juan, givenName, Olga]
  • A. Olga
    Olga is a lingerie and intimate apparel brand owned by PVH Corp., known for designing comfortable, supportive undergarments for women.
  • B. Olga chosen
    Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
  • C. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Olga Lysova
    Olga Lysova is a Russian woman best known as the first wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • E. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37acbc04819092a67d7f392c74cd completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3c30ba88190b192621928136b87 completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:39 p.m.