Triple
T6660843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aruna Miller |
E151470
|
entity |
| Predicate | runningMateOf |
P1793
|
FINISHED |
| Object | Wes Moore |
E105438
|
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: Wes Moore | Statement: [Aruna Miller, runningMateOf, Wes Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Moore Context triple: [Aruna Miller, runningMateOf, Wes Moore]
-
A.
Wes Moore
chosen
Wes Moore is an American politician, author, and former nonprofit executive who became the first Black governor of Maryland.
-
B.
Jelani Kilpatrick
Jelani Kilpatrick is known as one of the sons of former Detroit mayor Kwame Kilpatrick.
-
C.
Wyatt Tee Walker
Wyatt Tee Walker was an influential American civil rights leader, close aide to Martin Luther King Jr., and chief strategist and organizer for the Southern Christian Leadership Conference.
-
D.
Nicholas Lamont
Nicholas Lamont is an actor known for his role in the British television series "Pie in the Sky."
-
E.
J. D. Vance
J. D. Vance is an American politician and author, known for his memoir "Hillbilly Elegy" and for serving as a Republican U.S. Senator from Ohio.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0737cb08190ad455b48fd30eec8 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0738a88190802abaeb0ab0a927 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.