Triple

T7437422
Position Surface form Disambiguated ID Type / Status
Subject Zaitsev E171650 entity
Predicate transliterationVariant P5923 FINISHED
Object Zaytseff E171650 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: Zaytseff | Statement: [Zaitsev, transliterationVariant, Zaytseff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaytseff
Context triple: [Zaitsev, transliterationVariant, Zaytseff]
  • A. Zaitsev chosen
    Zaitsev is a common Russian surname borne by numerous notable figures, including the famed Soviet World War II sniper Vasily Zaitsev.
  • B. Zayton
    Zayton is the historical name used by medieval Arab and European traders for the major Chinese port city of Quanzhou, once one of the world’s busiest maritime trade centers.
  • C. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • D. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • E. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f349399c8190b46d5882ece2e73a completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a712fdc8190998d9a05dc73f40c completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:13 p.m.