Triple

T8613818
Position Surface form Disambiguated ID Type / Status
Subject U.S. House of Representatives seat for Massachusetts E203982 entity
Predicate officeholderStyle P20993 FINISHED
Object The Honorable 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: The Honorable | Statement: [U.S. House of Representatives seat for Massachusetts, officeholderStyle, The Honorable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeholderStyle
Context triple: [U.S. House of Representatives seat for Massachusetts, officeholderStyle, The Honorable]
  • A. officeHolderStyle chosen
    Indicates the formal title, manner of address, or stylistic designation used for a person holding a particular office or position.
  • B. officeHolderIs
    Indicates that one entity serves as the office holder (e.g., official or position occupant) of another entity, such as an office, role, or institution.
  • C. officeHolderClass
    Indicates that a given role or position is held by members belonging to a specified class or category of office holders.
  • D. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • E. officeHolderMayBe
    Indicates that a specified person is permitted or eligible to hold a particular office or position.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4700b9e08190b03f05f4757cfc47 completed March 31, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69cc455437488190b7506f820daf6e32 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:25 p.m.