Triple
T851679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephus Daniels |
E18399
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Daniels
Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
|
E102532
|
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: Daniels | Statement: [Josephus Daniels, familyName, Daniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniels Context triple: [Josephus Daniels, familyName, Daniels]
-
A.
Denis
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
-
B.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
C.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
D.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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: Daniels Triple: [Josephus Daniels, familyName, Daniels]
Generated description
Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniels Target entity description: Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
A.
Denis
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
-
B.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
C.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
D.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac22de288190913714d41e5a8e12 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3bd8b588190b7a9eb72dce93d07 |
completed | March 4, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_69a7a8da0c3481909f34d435ccf62ea7 |
completed | March 4, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a97688fc8190818957701913738f |
completed | March 4, 2026, 3:39 a.m. |
Created at: March 1, 2026, 7:38 p.m.