Triple

T25796587
Position Surface form Disambiguated ID Type / Status
Subject Assassination of John the Fearless (1419) E649701 entity
Predicate successorImpacted P173676 FINISHED
Object Philip the Good, Duke of Burgundy 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: Philip the Good, Duke of Burgundy | Statement: [Assassination of John the Fearless (1419), successorImpacted, Philip the Good, Duke of Burgundy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorImpacted
Context triple: [Assassination of John the Fearless (1419), successorImpacted, Philip the Good, Duke of Burgundy]
  • A. successorUse
    Indicates that one entity is used or applied as the subsequent or follow-up use of another entity in a sequence or lifecycle.
  • B. successorReceives
    Indicates that a successor entity obtains or is granted something (such as rights, assets, or responsibilities) from a predecessor.
  • C. successorAct
    Indicates that one action or event directly follows and replaces another in a sequence or process.
  • D. successor
    Indicates that one entity directly follows another in an ordered sequence or position.
  • E. successorRoleInfluence
    Indicates that one role affects, shapes, or determines the characteristics, responsibilities, or authority of the role that succeeds it.
  • F. None of above. chosen

Provenance (4 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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6b9a84ff88190ab5a71f7ef1e0dac completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
PDg Predicate description generation batch_69f6b8fe147881908ba17483c7b13f05 completed May 3, 2026, 2:54 a.m.
Created at: April 22, 2026, 6:30 a.m.