Triple

T1782554
Position Surface form Disambiguated ID Type / Status
Subject Edwin M. Stanton E39320 entity
Predicate admittedToBar P3471 FINISHED
Object Ohio E30904 NE FINISHED

How this triple was built (3 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: Ohio | Statement: [Edwin M. Stanton, admittedToBar, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ohio
Context triple: [Edwin M. Stanton, admittedToBar, Ohio]
  • A. Ohio chosen
    Ohio is a Midwestern U.S. state known for its diverse economy, major cities like Columbus, Cleveland, and Cincinnati, and its significant role in national politics as a historic swing state.
  • B. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • C. Indiana and Kentucky
    Indiana and Kentucky are neighboring U.S. states in the Midwest and Upper South, respectively, separated in large part by the Ohio River.
  • D. Kentucky and Illinois
    Kentucky and Illinois are neighboring U.S. states in the Midwest and Upper South that meet along the Mississippi River.
  • E. Illinois
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: admittedToBar
Context triple: [Edwin M. Stanton, admittedToBar, Ohio]
  • A. practicedLawIn
    Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
  • B. barAdmission chosen
    Indicates that a legal professional has been formally admitted to practice law before a particular bar or court.
  • C. hasAdmission
    Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
  • D. acceptedIn
    Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
  • E. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • F. None of above.

Provenance (4 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab74dc9d1481908084ef07872a71f8 completed March 7, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf308fe4819093ac42f637929a5e completed March 8, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69aa61cf3ca881908641fd73ce2f7c9d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.