Triple
T555675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Durant |
E11936
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Durant |
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: Durant | Statement: [Kevin Durant, familyName, Durant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durant Context triple: [Kevin Durant, familyName, Durant]
-
A.
Durant
chosen
Durant is a surname most famously associated with William C. Durant, the pioneering American automobile magnate who co-founded General Motors.
-
B.
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.
-
C.
James Harden
James Harden is an American professional basketball player renowned as one of the NBA’s most prolific scorers and playmakers, winning an MVP award and multiple All-Star selections over his career.
-
D.
Kyrie Irving
Kyrie Irving is an American professional basketball player and NBA champion known for his elite ball-handling, clutch scoring, and All-Star career with multiple teams.
-
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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9bb3b28819099ed0027d948483a |
completed | March 2, 2026, 1:36 a.m. |
Created at: March 1, 2026, 7:32 p.m.