Triple
T23126713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Michael Izzo |
E577049
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Draymond Green |
—
|
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: Draymond Green | Statement: [Thomas Michael Izzo, notableStudent, Draymond Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Draymond Green Context triple: [Thomas Michael Izzo, notableStudent, Draymond Green]
-
A.
Draymond Green
chosen
Draymond Green is an American professional basketball player for the Golden State Warriors, known for his versatile defense, playmaking, and outspoken personality.
-
B.
Draymond Green Jr.
Draymond Green Jr. is the son of NBA player Draymond Green.
-
C.
Klay Thompson
Klay Thompson is an American professional basketball player, best known as an elite three-point shooter and multiple-time NBA champion with the Golden State Warriors.
-
D.
Steve Curry
Steve Curry is an American actor best known for his work in film and television during the 1970s and 1980s.
-
E.
Monta Ellis
Monta Ellis is an American former NBA shooting guard known for his high-volume scoring and dynamic playmaking, most prominently with the Golden State Warriors in the late 2000s.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5482588190b95b36075ecc7f24 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.