Triple
T6155463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. Philip Randolph |
E137308
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Randolph |
E137308
|
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: Randolph | Statement: [A. Philip Randolph, hasSurname, Randolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randolph Context triple: [A. Philip Randolph, hasSurname, Randolph]
-
A.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
B.
Randolph
chosen
Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
-
C.
Randolph
Randolph is a character from Truman Capote’s Southern Gothic novel "Other Voices, Other Rooms," notable for his eccentric, theatrical personality and complex, ambiguous sexuality.
-
D.
Randolph
Randolph is the given first name of the English writer and editor J. R. Ackerley, known for his memoirs and works on personal and social themes.
-
E.
Randolph
Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3cbf914819086c9553904aee0e5 |
completed | March 27, 2026, 1:56 a.m. |
Created at: March 22, 2026, 4:17 p.m.