Triple

T10630772
Position Surface form Disambiguated ID Type / Status
Subject Abner J. Mikva E250445 entity
Predicate appointed to office P71782 FINISHED
Object United States Court of Appeals for the District of Columbia Circuit E16546 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: United States Court of Appeals for the District of Columbia Circuit | Statement: [Abner J. Mikva, appointed to office, United States Court of Appeals for the District of Columbia Circuit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States Court of Appeals for the District of Columbia Circuit
Context triple: [Abner J. Mikva, appointed to office, United States Court of Appeals for the District of Columbia Circuit]
  • A. United States Court of Appeals for the District of Columbia Circuit chosen
    The United States Court of Appeals for the District of Columbia Circuit is a federal appellate court widely regarded as one of the most influential in the country, particularly in cases involving federal agencies and constitutional law.
  • B. District of Columbia Court of Appeals
    The District of Columbia Court of Appeals is the highest court for the District of Columbia, functioning as its equivalent of a state supreme court and serving as the court of last resort for local D.C. legal matters.
  • C. United States Court of Appeals for the Ninth Circuit
    The United States Court of Appeals for the Ninth Circuit is a federal appellate court that reviews cases from district courts in a large western region of the United States, including states such as California, Arizona, and Washington.
  • D. United States Court of Appeals for the Fourth Circuit
    The United States Court of Appeals for the Fourth Circuit is a federal appellate court that reviews cases from district courts in Maryland, Virginia, West Virginia, North Carolina, and South Carolina.
  • E. United States Court of Appeals for the Second Circuit
    The United States Court of Appeals for the Second Circuit is a federal appellate court that reviews cases from district courts in New York, Connecticut, and Vermont and is known for its influential decisions in areas such as securities law, immigration, and constitutional rights.
  • 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: appointed to office
Context triple: [Abner J. Mikva, appointed to office, United States Court of Appeals for the District of Columbia Circuit]
  • A. appointed
    Indicates that one entity formally assigns another entity to a position, role, or responsibility.
  • B. appointedIn chosen
    Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
  • C. appointedFrom
    Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
  • D. appointedByOffice
    Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
  • E. appointedAfter
    Indicates that one entity was appointed to a position or role at a later time than another entity.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bb4bbf08190994ea9123c0b2dab completed April 10, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:01 p.m.