Triple
T22757213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Booker |
E562878
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Devin Booker |
—
|
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: Devin Booker | Statement: [Melvin Booker, child, Devin Booker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devin Booker Context triple: [Melvin Booker, child, Devin Booker]
-
A.
Devin Booker
chosen
Devin Booker is an American professional basketball player and three-time NBA All-Star known as a prolific scoring guard for the Phoenix Suns.
-
B.
Deandre Ayton
Deandre Ayton is a Bahamian professional basketball center and former first overall NBA draft pick known for his scoring, rebounding, and interior presence.
-
C.
Austin Herro
Austin Herro is the brother of NBA player Tyler Herro and a member of the Herro family known in American basketball circles.
-
D.
Aaron Gordon
Aaron Gordon is an American professional basketball player known for his high-flying athleticism and memorable performances in NBA Slam Dunk Contests.
-
E.
Tyler Herro
Tyler Herro is an American professional basketball player known as a sharpshooting guard for the Miami Heat in the NBA.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a798ae08190b9810bf241613198 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.