Triple
T20630204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Bolden |
E506933
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bolden |
—
|
NE NERFINISHED |
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: Bolden | Statement: [Ed Bolden, familyName, Bolden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolden Context triple: [Ed Bolden, familyName, Bolden]
-
A.
Bolden
chosen
Bolden is a surname most prominently associated with Charles F. Bolden Jr., a former NASA astronaut and Administrator of NASA.
-
B.
Boldin
Boldin is the surname of Anquan Boldin, a former NFL wide receiver known for his physical playing style and productivity with teams like the Arizona Cardinals and Baltimore Ravens.
-
C.
Buckmaster
Buckmaster is a surname most notably associated with English orchestral arranger and composer Paul Buckmaster, known for his influential work in rock and pop music.
-
D.
Brodie
Brodie is a Scottish surname historically associated with a Highland clan and used by various notable figures in sports, politics, and the arts.
-
E.
Bullom
Bullom is a lesser-known Atlantic language spoken by the Bullom people along the coastal regions of Sierra Leone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad09c71881909698d3c2576cc181 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.