Triple
T20134134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua R. Giddings |
E490976
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Giddings |
—
|
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: Giddings | Statement: [Joshua R. Giddings, hasSurname, Giddings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giddings Context triple: [Joshua R. Giddings, hasSurname, Giddings]
-
A.
Giddings
chosen
Giddings is an English-language surname borne by various notable individuals, including American abolitionist politician Joshua R. Giddings.
-
B.
Giddings, Texas
Giddings, Texas is a small city in Lee County that serves as a regional hub between Austin and Houston, known for its ranching heritage and German-Texan culture.
-
C.
Corryton
Corryton is an unincorporated community in northeastern Knox County, Tennessee, situated within the Knoxville metropolitan area.
-
D.
Bartonville
Bartonville is a small suburban town in Denton County, Texas, known for its semi-rural character and proximity to the Dallas–Fort Worth metropolitan area.
-
E.
Seagoville
Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676556c481909ffc80cd2009b65a |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.