Triple
T7126578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauderdale County |
E166076
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
James Lauderdale
James Lauderdale was an American military officer whose service in the early 19th century led to multiple U.S. counties being named in his honor.
|
E643637
|
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: James Lauderdale | Statement: [Lauderdale County, namedAfter, James Lauderdale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Lauderdale Context triple: [Lauderdale County, namedAfter, James Lauderdale]
-
A.
Robert Livermore
Robert Livermore was a 19th-century Californian rancher and early settler whose name was later given to the city of Livermore, California.
-
B.
James Reynolds
James Reynolds is a relatively common personal name shared by multiple individuals across various professions and public records.
-
C.
James Reynolds
James Reynolds is the daughter of actors Ryan Reynolds and Blake Lively, known for being part of their high-profile celebrity family.
-
D.
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
E.
Henry McDaniel
Henry McDaniel was the father of Academy Award–winning actress Hattie McDaniel, known primarily in historical records for this parental connection.
- 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: James Lauderdale Triple: [Lauderdale County, namedAfter, James Lauderdale]
Generated description
James Lauderdale was an American military officer whose service in the early 19th century led to multiple U.S. counties being named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Lauderdale Target entity description: James Lauderdale was an American military officer whose service in the early 19th century led to multiple U.S. counties being named in his honor.
-
A.
Robert Livermore
Robert Livermore was a 19th-century Californian rancher and early settler whose name was later given to the city of Livermore, California.
-
B.
James Reynolds
James Reynolds is a relatively common personal name shared by multiple individuals across various professions and public records.
-
C.
James Reynolds
James Reynolds is the daughter of actors Ryan Reynolds and Blake Lively, known for being part of their high-profile celebrity family.
-
D.
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
E.
Henry McDaniel
Henry McDaniel was the father of Academy Award–winning actress Hattie McDaniel, known primarily in historical records for this parental connection.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3357e548190bb56c31843c69f95 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a446c5088190908dd7b4cdc57f18 |
completed | March 28, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4fc9f788190b38437c6e91a5f8a |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 27, 2026, 2:44 p.m.