Triple
T3320364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durantula |
E69779
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Kevin Durant’s surname |
E50984
|
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: Kevin Durant’s surname | Statement: [Durantula, basedOn, Kevin Durant’s surname]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Durant’s surname Context triple: [Durantula, basedOn, Kevin Durant’s surname]
-
A.
Kevin Durant
Kevin Durant is an American professional basketball star widely regarded as one of the greatest scorers in NBA history, with multiple championships and MVP awards.
-
B.
Durant
chosen
Durant is a surname most famously associated with William C. Durant, the pioneering American automobile magnate who co-founded General Motors.
-
C.
Ken Durant
Ken Durant is an individual notable enough to be recognized as a namesake of the surname Durant.
-
D.
Bryant
Bryant is a common English surname borne by numerous notable figures in American history, literature, sports, and public life.
-
E.
Bryant
Bryant is the middle name of James B. Conant, the influential American chemist, educator, and president of Harvard University.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13a4e948190841134d6ae6ef432 |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a776f3881908e8b198f31921453 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.