Triple

T33101867
Position Surface form Disambiguated ID Type / Status
Subject Otto I, Duke of Swabia and Bavaria E847072 entity
Predicate successor (Duke of Bavaria) P136743 FINISHED
Object Henry II, Duke of Bavaria (the Wrangler) 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: Henry II, Duke of Bavaria (the Wrangler) | Statement: [Otto I, Duke of Swabia and Bavaria, successor (Duke of Bavaria), Henry II, Duke of Bavaria (the Wrangler)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successor (Duke of Bavaria)
Context triple: [Otto I, Duke of Swabia and Bavaria, successor (Duke of Bavaria), Henry II, Duke of Bavaria (the Wrangler)]
  • A. predecessor (Duke of Bavaria)
    Indicates that one entity previously held the title of Duke of Bavaria before another entity.
  • B. successorAsKingOfBavaria
    Indicates that one person became the next king of Bavaria following another person’s reign.
  • C. successorAsDukeOfSaxony
    Indicates that one entity became the next Duke of Saxony following another entity in succession.
  • D. successorAsDuke chosen
    Indicates that one person directly follows another in holding the title and position of duke.
  • E. predecessorAsKingOfBavaria
    Indicates that one person previously held the position of King of Bavaria immediately before another person.
  • F. None of above.

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_69f3495686508190b76bf20fa5e00bf7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff7bc112088190851501fb2a16103d completed May 9, 2026, 6:24 p.m.
PD Predicate disambiguation batch_69ff7b45507c81909753866ad733601a completed May 9, 2026, 6:21 p.m.
Created at: May 1, 2026, 1:26 a.m.