Triple
T23020087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Aderholt |
E573137
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aderholt |
—
|
NE NERFINISHED |
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: Aderholt | Statement: [Robert Aderholt, familyName, Aderholt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aderholt Context triple: [Robert Aderholt, familyName, Aderholt]
-
A.
Robert Aderholt
chosen
Robert Aderholt is a long-serving Republican member of the U.S. House of Representatives from Alabama known for his conservative positions on social and fiscal issues.
-
B.
Crapo
Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
-
C.
Arlen
Arlen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
-
D.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
-
E.
Jess Collins
Jess Collins, better known as Jess, was an American visual artist associated with the San Francisco Renaissance, renowned for his intricate collages and long-term personal and creative partnership with poet Robert Duncan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e8324c81908b8868d298af66e1 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.