Triple
T10874883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Threadgill |
E256758
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Austin, Texas |
E597342
|
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, Texas | Statement: [Kenneth Threadgill, basedIn, Austin, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austin, Texas Context triple: [Kenneth Threadgill, basedIn, Austin, Texas]
-
A.
City of Austin
chosen
The City of Austin is the capital of Texas, known for its vibrant live music scene, tech industry presence, and progressive cultural and political landscape.
-
B.
Dallas, Texas
Dallas, Texas is a major metropolitan city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and telecommunications.
-
C.
Austin
Austin is one of Chicago’s largest and most populous West Side community areas, known for its historic residential architecture and significant demographic and economic changes over time.
-
D.
Austin
Austin is a historic British automobile marque best known for its mass-market cars produced throughout much of the 20th century.
-
E.
Austin
Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7518a1db08190abf0c524b81487fa |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4acb7fdac8190bced7e26c948ee4a |
completed | April 19, 2026, 10:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.