Triple

T28774599
Position Surface form Disambiguated ID Type / Status
Subject Kantakouzenos E726498 entity
Predicate producedDespot P187572 FINISHED
Object Manuel Kantakouzenos 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: Manuel Kantakouzenos | Statement: [Kantakouzenos, producedDespot, Manuel Kantakouzenos]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: producedDespot
Context triple: [Kantakouzenos, producedDespot, Manuel Kantakouzenos]
  • A. producedTsar
    Indicates that an entity (such as a person, group, or process) brought about or created a tsar as a result or outcome.
  • B. producedEmpress
    Indicates that one entity created, generated, or brought about the existence or status of an empress.
  • C. firstDespot
    Indicates that the subject is the earliest or original ruler with despotic authority over the object (such as a state, territory, or people).
  • D. producedEmperor
    Indicates that one entity brought about, created, or was responsible for the rise or existence of an emperor.
  • E. producedSaint
    Indicates that an entity (such as a place, group, or lineage) has given rise to or brought forth a particular saint.
  • 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_69f03199997c8190b6ae43fb19312443 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69fb6fdc7eb081908ab8475efb38c430 completed May 6, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69fb5a986e588190b7a10892bd2ff44c completed May 6, 2026, 3:13 p.m.
PDg Predicate description generation batch_69fb6fdab95c81909acff3c6a2359787 completed May 6, 2026, 4:44 p.m.
Created at: April 28, 2026, 6:17 a.m.