Triple
T19002895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littleton Waller Tazewell |
E465000
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tazewell
Tazewell is a surname most notably associated with American politician and statesman Littleton Waller Tazewell.
|
E1353792
|
NE FINISHED |
How this triple was built (4 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: Tazewell | Statement: [Littleton Waller Tazewell, familyName, Tazewell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tazewell Context triple: [Littleton Waller Tazewell, familyName, Tazewell]
-
A.
Tazewell County
Tazewell County is a county in central Illinois known for its mix of small towns, agricultural areas, and proximity to the Peoria metropolitan region.
-
B.
Menard County
Menard County is a rural county in central Illinois known for its agricultural landscape and small communities, including the village of Tallula.
-
C.
McDowell County
McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
-
D.
Darke County
Darke County is a rural county in western Ohio known for its agricultural economy and county seat, Greenville.
-
E.
Troup
Troup is a surname of Scottish origin borne by various notable individuals, including politicians, artists, and public figures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tazewell Triple: [Littleton Waller Tazewell, familyName, Tazewell]
Generated description
Tazewell is a surname most notably associated with American politician and statesman Littleton Waller Tazewell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tazewell Target entity description: Tazewell is a surname most notably associated with American politician and statesman Littleton Waller Tazewell.
-
A.
Tazewell County
Tazewell County is a county in central Illinois known for its mix of small towns, agricultural areas, and proximity to the Peoria metropolitan region.
-
B.
Menard County
Menard County is a rural county in central Illinois known for its agricultural landscape and small communities, including the village of Tallula.
-
C.
McDowell County
McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
-
D.
Darke County
Darke County is a rural county in western Ohio known for its agricultural economy and county seat, Greenville.
-
E.
Troup
Troup is a surname of Scottish origin borne by various notable individuals, including politicians, artists, and public figures.
- F. None of above. chosen
Provenance (5 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a252588190a40398b1879fb096 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45dc7e88190a0bf79ea1bb18f99 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.