Triple

T13815228
Position Surface form Disambiguated ID Type / Status
Subject Vladislav E331996 entity
Predicate hasShortForm P43 FINISHED
Object Vlad E56831 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: Vlad | Statement: [Vladislav, hasShortForm, Vlad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlad
Context triple: [Vladislav, hasShortForm, Vlad]
  • A. Vlad III Dracula
    Vlad III Dracula was a 15th-century Wallachian prince infamous for his brutal methods of punishment and later inspiration for the fictional Count Dracula.
  • B. Vladimir
    Vladimir is a historic Russian city east of Moscow, known as one of the medieval capitals of Russia and a key center of the Golden Ring.
  • C. Vladimir chosen
    Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
  • D. Andrew Báthory
    Andrew Báthory was a late 16th-century Polish-Lithuanian cardinal and briefly Prince of Transylvania from the influential Báthory noble family.
  • E. Christopher Báthory
    Christopher Báthory was a 16th-century Hungarian nobleman and voivode of Transylvania from the influential Báthory family.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.