Triple
T14475447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia's 8th congressional district |
E358958
|
entity |
| Predicate | currentRepresentative |
P537
|
FINISHED |
| Object | Austin Scott |
E1015805
|
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: Austin Scott | Statement: [Georgia's 8th congressional district, currentRepresentative, Austin Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austin Scott Context triple: [Georgia's 8th congressional district, currentRepresentative, Austin Scott]
-
A.
Austin Scott
chosen
Austin Scott is a Republican politician serving as a U.S. Representative from Georgia.
-
B.
Ed Steele
Ed Steele was a professional baseball player in the Negro Leagues, best known as an outfielder for the Birmingham Black Barons.
-
C.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
D.
Scott Burkholder
Scott Burkholder is an actor known for his role in the television series "Cobb."
-
E.
Perry Cox
Perry Cox is a sarcastic, tough-love attending physician and mentor on the medical comedy-drama series "Scrubs."
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a3e32fc8190822aeb633b60af6b |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:20 a.m.