Triple

T20129900
Position Surface form Disambiguated ID Type / Status
Subject Stiva E490860 entity
Predicate hasNickname P39 FINISHED
Object Stiva NE NERFINISHED

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: Stiva | Statement: [Stiva, hasNickname, Stiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stiva
Context triple: [Stiva, hasNickname, Stiva]
  • A. Stiva chosen
    Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
  • B. Stiattesi
    Stiattesi is an Italian surname, notably borne by Prudenzia Stiattesi, a historical figure from Italy.
  • C. Stalać
    Stalać is a village in central Serbia known for its strategic location near the confluence of major rivers and important transportation routes.
  • D. Stanca
    Stanca was the wife of Michael the Brave, the late 16th-century prince who briefly united Wallachia, Transylvania, and Moldavia.
  • E. Stalle
    Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66760b8f08190a66fbb2e9e3925a3 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.