Triple
T2135324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther L. Terry |
E46638
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Red Level, Alabama, United States
Red Level, Alabama, United States, is a small rural town best known as the birthplace of former U.S. Surgeon General Luther L. Terry.
|
E237988
|
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: Red Level, Alabama, United States | Statement: [Luther L. Terry, placeOfBirth, Red Level, Alabama, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Level, Alabama, United States Context triple: [Luther L. Terry, placeOfBirth, Red Level, Alabama, United States]
-
A.
Sterrett, Alabama
Sterrett, Alabama is a small unincorporated community and rural residential area located in eastern Shelby County in central Alabama.
-
B.
Rosa, Alabama
Rosa, Alabama is a small town located in Blount County in the northern part of the state.
-
C.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
D.
Siluria, Alabama
Siluria, Alabama is a small unincorporated community and former mill town located in Shelby County in central Alabama.
-
E.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
- 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: Red Level, Alabama, United States Triple: [Luther L. Terry, placeOfBirth, Red Level, Alabama, United States]
Generated description
Red Level, Alabama, United States, is a small rural town best known as the birthplace of former U.S. Surgeon General Luther L. Terry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Level, Alabama, United States Target entity description: Red Level, Alabama, United States, is a small rural town best known as the birthplace of former U.S. Surgeon General Luther L. Terry.
-
A.
Sterrett, Alabama
Sterrett, Alabama is a small unincorporated community and rural residential area located in eastern Shelby County in central Alabama.
-
B.
Rosa, Alabama
Rosa, Alabama is a small town located in Blount County in the northern part of the state.
-
C.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
D.
Siluria, Alabama
Siluria, Alabama is a small unincorporated community and former mill town located in Shelby County in central Alabama.
-
E.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdc4ce8c81908d143d5451681e6a |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51acc0f88190a580e29d887170ec |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae5322097c81909d77d54ae258ab1a |
completed | March 9, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae536431bc8190b9f293d74046cb27 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.