Triple

T16896660
Position Surface form Disambiguated ID Type / Status
Subject John Cotton Smith E424321 entity
Predicate admittedToBar 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: [John Cotton Smith, admittedToBar, Connecticut bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connecticut bar
Context triple: [John Cotton Smith, admittedToBar, 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d880208190ad2b2c8616b54ea3 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7ad473081908b1c1d9524cf64a6 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.