Triple
T5517702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Keller |
E144724
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Tuscumbia |
E144724
|
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: Tuscumbia | Statement: [Helen Keller, birthPlace, Tuscumbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuscumbia Context triple: [Helen Keller, birthPlace, Tuscumbia]
-
A.
Tuscumbia
chosen
Tuscumbia is a small historic city in northwestern Alabama, best known as the birthplace of Helen Keller and for its role in the early development of the region.
-
B.
Tullahoma
Tullahoma is a small city in southern Middle Tennessee known for its aerospace and aviation research facilities and proximity to Arnold Air Force Base.
-
C.
Tuskaloosa
Tuskaloosa was a paramount chief of the Mississippian culture in the 16th century, known for leading Native American resistance against Spanish explorer Hernando de Soto in what is now the southeastern United States.
-
D.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
E.
Anniston, Alabama
Anniston, Alabama is a small city in northeastern Alabama known historically as a planned industrial community and gateway to the nearby Appalachian foothills.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f6cefe48190bfda90d6afab8468 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059d3494c8190b20e57ec4d73d3fa |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:33 p.m.