Triple

T15138192
Position Surface form Disambiguated ID Type / Status
Subject Beckett on Film: Waiting for Godot E361611 entity
Predicate hasCharacter P2308 FINISHED
Object Vladimir 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: Vladimir | Statement: [Beckett on Film: Waiting for Godot, hasCharacter, Vladimir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladimir
Context triple: [Beckett on Film: Waiting for Godot, hasCharacter, Vladimir]
  • A. 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.
  • 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. Vladislav
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • E. Lzhedmitry I
    Lzhedmitry I is the Russian name for False Dmitry I, the first and most prominent of the pretenders who claimed the Russian throne during the Time of Troubles in the early 17th century.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b59b488190b0016970647e7483 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1337412081909f683ed542699ed5 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 3:07 a.m.