Triple
T11602077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verena Tarrant |
E275154
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tarrant |
E21658
|
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: Tarrant | Statement: [Verena Tarrant, familyName, Tarrant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarrant Context triple: [Verena Tarrant, familyName, Tarrant]
-
A.
Fortrose
Fortrose is a historic coastal town on the Black Isle in the Scottish Highlands, noted for its medieval cathedral ruins and scenic views over the Moray Firth.
-
B.
Lubbock
Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
-
C.
Corsicana
Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
-
D.
Grand Prairie
Grand Prairie is a mid-sized suburban city in the Dallas–Fort Worth metropolitan area known for its family attractions, parks, and growing residential communities.
-
E.
Tarrant County, Texas
chosen
Tarrant County, Texas is a major urban county in North Texas that includes the city of Fort Worth and forms part of the Dallas–Fort Worth metropolitan area.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954daa908190a8d532e43aa4a881 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7f018a881908f4b206699044ceb |
completed | April 22, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:38 p.m.