Triple
T20820194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Bledsoe |
E512554
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bledsoe |
—
|
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: Bledsoe | Statement: [Frank Bledsoe, familyName, Bledsoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bledsoe Context triple: [Frank Bledsoe, familyName, Bledsoe]
-
A.
Bledsoe
chosen
Bledsoe is a surname most notably associated with American professional basketball player Eric Bledsoe.
-
B.
Woody Bledsoe
Woody Bledsoe was an American mathematician and computer scientist recognized as a pioneer in artificial intelligence, particularly in automated theorem proving and pattern recognition.
-
C.
Buff Cobb
Buff Cobb was an American actress and television personality best known as the co-host of the early TV talk show "Mike and Buff" alongside her then-husband Mike Wallace.
-
D.
Dupree Bolton
Dupree Bolton was an American jazz trumpeter known for his brilliant yet tragically under-recorded work in the hard bop idiom and his troubled life marked by long periods of incarceration.
-
E.
A. Bledsoe
A. Bledsoe was an early settler and community leader credited with establishing the town of Lancaster in Texas.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f6a65481909a0df78616e185e4 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.