Triple

T29785580
Position Surface form Disambiguated ID Type / Status
Subject John Cornyn E756254 entity
Predicate termStartAsUSSenatorFromTexas P25747 FINISHED
Object 2002 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: 2002 | Statement: [John Cornyn, termStartAsUSSenatorFromTexas, 2002]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termStartAsUSSenatorFromTexas
Context triple: [John Cornyn, termStartAsUSSenatorFromTexas, 2002]
  • A. startTimeAsUnitedStatesSenator chosen
    Indicates the date and time at which an individual began serving in the role of United States Senator.
  • B. startTimeAsUSCongressSeat
    Indicates the date and time at which an individual officially begins serving in a specific seat in the U.S. Congress.
  • C. termStartAsGovernor
    Indicates the date or point in time when an individual begins their term serving in the role of governor.
  • D. termStartAsStateRepresentative
    Indicates the date or event when an individual begins serving in office as a state representative.
  • E. startTimeAsSenatePresident
    Indicates the date and time at which an individual begins serving in the role of Senate President.
  • 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_69f22451fb748190bbdbab401280affb completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f68a16debc8190a12f5f65ced055d7 completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f6860def1c81909d79e1f088c4b5e5 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 5:08 p.m.