Triple

T5712108
Position Surface form Disambiguated ID Type / Status
Subject Wassily Leontief E125932 entity
Predicate givenName P17 FINISHED
Object Wassily E204832 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: Wassily | Statement: [Wassily Leontief, givenName, Wassily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wassily
Context triple: [Wassily Leontief, givenName, Wassily]
  • A. Wassily chosen
    Wassily is a masculine given name most famously borne by the pioneering abstract painter Wassily Kandinsky.
  • B. Gustav Klutsis
    Gustav Klutsis was a pioneering Latvian-Soviet artist and designer best known for his innovative photomontages and politically charged propaganda works within the Constructivist movement.
  • C. Vladimir Tatlin
    Vladimir Tatlin was a pioneering Russian and Soviet avant-garde artist and architect best known for his visionary, industrially inspired designs that helped define the Constructivist movement.
  • D. Aleksei Rodin
    Aleksei Rodin was a Soviet tank corps commander and general who played a significant role in armoured operations on the Eastern Front during World War II.
  • E. Eugene Troubetzkoy
    Eugene Troubetzkoy is an entrepreneur best known as a co-founder of the American computer animation company Blue Sky Studios.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b386a08190bd2738d93861edc2 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a72181081909209a38c3ff7460b completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.