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.