Triple

T8491434
Position Surface form Disambiguated ID Type / Status
Subject Sir Edward Seymour, 4th Baronet of Berry Pomeroy E200977 entity
Predicate speakerOfCommonsStartYear P58629 FINISHED
Object 1673 LITERAL FINISHED

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: 1673 | Statement: [Sir Edward Seymour, 4th Baronet of Berry Pomeroy, speakerOfCommonsStartYear, 1673]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speakerOfCommonsStartYear
Context triple: [Sir Edward Seymour, 4th Baronet of Berry Pomeroy, speakerOfCommonsStartYear, 1673]
  • A. formerMPStartYear
    Indicates the year in which an individual began their period of service as a former Member of Parliament (i.e., the start year of their tenure as an MP).
  • B. representedInParliamentSince
    Indicates that an entity has held representation in a parliament continuously from a specified starting time.
  • C. startTimeAsLeaderOfTheHouseOfCommons chosen
    Indicates the date and time at which an individual begins serving as the Leader of the House of Commons.
  • D. representedInCongressSince
    Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
  • E. endTimeMemberOfCongressFirstTerm
    Indicates the date and time when an individual’s first term as a member of Congress concludes.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55af3f48190a8cd64cdce0ebd4c completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.