Triple
T5391453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Abernathy |
E120338
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Linden, Alabama
Linden, Alabama is a small city in Marengo County best known as the birthplace of civil rights leader Ralph Abernathy.
|
E547200
|
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: Linden, Alabama | Statement: [Ralph Abernathy, birthPlace, Linden, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden, Alabama Context triple: [Ralph Abernathy, birthPlace, Linden, Alabama]
-
A.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
B.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
C.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
D.
Riverview, Alabama
Riverview, Alabama is a small town located in Escambia County in the southern part of the U.S. state of Alabama.
-
E.
Lanett, Alabama
Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
- 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: Linden, Alabama Triple: [Ralph Abernathy, birthPlace, Linden, Alabama]
Generated description
Linden, Alabama is a small city in Marengo County best known as the birthplace of civil rights leader Ralph Abernathy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linden, Alabama Target entity description: Linden, Alabama is a small city in Marengo County best known as the birthplace of civil rights leader Ralph Abernathy.
-
A.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
B.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
C.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
D.
Riverview, Alabama
Riverview, Alabama is a small town located in Escambia County in the southern part of the U.S. state of Alabama.
-
E.
Lanett, Alabama
Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd87185f788190bd5244a1f7dbb5c8 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097af51508190a1eb69f188a7dcb6 |
completed | March 23, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69c098ba92408190b61b115540fce941 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099b4bc4481909e7cf6886e5ccbea |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 20, 2026, 2:04 p.m.