Triple

T8464770
Position Surface form Disambiguated ID Type / Status
Subject G. Callen E200132 entity
Predicate givenName P17 FINISHED
Object Grisha E315592 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: Grisha | Statement: [G. Callen, givenName, Grisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grisha
Context triple: [G. Callen, givenName, Grisha]
  • A. Olyusha
    Olyusha is a Russian diminutive form of the female given name Olga, typically used as an affectionate nickname.
  • B. Grigori chosen
    Grigori is the given name of Grigori Rasputin, the controversial Russian mystic and advisor to the Romanov royal family in the early 20th century.
  • C. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • D. Artyom
    Artyom is a city in Primorsky Krai in Russia’s Far East, known for serving as the urban center near Vladivostok and hosting the region’s main international airport.
  • E. Rodion
    Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d05b2881909bddf58df0ee1143 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:11 p.m.