Triple

T32202639
Position Surface form Disambiguated ID Type / Status
Subject Andronikos IV Palaiologos E822582 entity
Predicate regainedThroneFrom P62630 FINISHED
Object John V Palaiologos 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: John V Palaiologos | Statement: [Andronikos IV Palaiologos, regainedThroneFrom, John V Palaiologos]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regainedThroneFrom
Context triple: [Andronikos IV Palaiologos, regainedThroneFrom, John V Palaiologos]
  • A. regainsThroneFrom chosen
    Indicates that one entity takes back control of a throne or rulership position that had been held by another entity.
  • B. restoredToThroneBy
    Indicates that an entity was returned to a position of rulership or kingship through the actions or intervention of another entity.
  • C. restoredToThrone
    Indicates that an entity regains a previously held throne or royal position after having lost or been removed from it.
  • D. usurpsThroneFrom
    Indicates that one entity seizes control of a throne or rulership position that previously belonged to another entity, typically by force or illegitimate means.
  • E. tookThroneFollowing
    Indicates that one entity assumed or claimed a throne or rulership position directly after another entity, in a succession context.
  • 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_69f349093174819086e633c190a51aa8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb3dc9c881908fa012bef3704384 completed May 3, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:36 a.m.