Triple

T13336178
Position Surface form Disambiguated ID Type / Status
Subject Henry Baldwin E317697 entity
Predicate barAdmission P3471 FINISHED
Object Connecticut bar E1032675 NE 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: Connecticut bar | Statement: [Henry Baldwin, barAdmission, Connecticut bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connecticut bar
Context triple: [Henry Baldwin, barAdmission, Connecticut bar]
  • A. Connecticut Bar chosen
    The Connecticut Bar is the professional body of licensed attorneys authorized to practice law in the state of Connecticut.
  • B. Rhode Island Bar
    The Rhode Island Bar is the professional licensing organization and regulatory body for attorneys authorized to practice law in the state of Rhode Island.
  • C. Massachusetts Bar
    The Massachusetts Bar is the professional body and licensing authority for attorneys authorized to practice law in the Commonwealth of Massachusetts.
  • D. New Hampshire Bar
    The New Hampshire Bar is the professional organization and licensing authority for attorneys authorized to practice law in the state of New Hampshire.
  • E. Maryland Bar
    The Maryland Bar is the professional association and licensing body for attorneys authorized to practice law in the state of Maryland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.