Triple

T26244621
Position Surface form Disambiguated ID Type / Status
Subject Princess Royal E656407 entity
Predicate monarchWhoFirstConferred P33027 FINISHED
Object Charles I of England 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: Charles I of England | Statement: [Princess Royal, monarchWhoFirstConferred, Charles I of England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monarchWhoFirstConferred
Context triple: [Princess Royal, monarchWhoFirstConferred, Charles I of England]
  • A. monarchWhoGrantedTitle chosen
    Indicates the monarch who conferred or bestowed a particular title upon an individual.
  • B. firstMonarch
    Indicates that the subject is the first monarch (initial ruler) of the object polity or domain.
  • C. monarchWhoGrants
    Indicates a relationship where a monarch bestows, confers, or grants something (such as rights, titles, lands, or privileges) to another party.
  • D. monarchOnEstablishment
    Indicates that a particular monarch holds or held the position of head of state for a given establishment (such as a country, state, or institution).
  • E. monarchAssociatedWith
    Indicates a relationship where a monarch has a notable connection or affiliation with another entity, such as a person, place, institution, or event.
  • 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_69ee5b4c59a881909d9ee4fd013fffd5 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60dc5cbc48190952960eeab21cc9f completed May 2, 2026, 2:44 p.m.
PD Predicate disambiguation batch_69f60b874cc88190a487230abb69efea completed May 2, 2026, 2:34 p.m.
Created at: April 26, 2026, 9:05 p.m.