Triple
T4726901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayard Rustin |
E104906
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bayard |
E104906
|
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: Bayard | Statement: [Bayard Rustin, givenName, Bayard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayard Context triple: [Bayard Rustin, givenName, Bayard]
-
A.
Bayard
chosen
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
B.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
-
C.
Nicholas Bayard
Nicholas Bayard was a prominent 17th-century New York colonial official and landowner, known for his influential role in early New Amsterdam politics and society.
-
D.
Broderick
Broderick is the birth name of American comedian, television host, and actor Steve Harvey.
-
E.
Mad Anthony
Mad Anthony was the fiery and daring nickname of Anthony Wayne, a bold American Revolutionary War general known for his aggressive battlefield tactics.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd644872508190887043de6c30c3da |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a07bc8819086c29ec0b466ce2c |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.