Triple
T16449006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaMelo Ball |
E399503
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | LaMelo |
E399503
|
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: LaMelo | Statement: [LaMelo Ball, givenName, LaMelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaMelo Context triple: [LaMelo Ball, givenName, LaMelo]
-
A.
LaMelo Ball
chosen
LaMelo Ball is an American professional basketball player and dynamic playmaking point guard in the NBA known for his flashy passing, scoring ability, and All-Star caliber impact.
-
B.
Lonzo Ball
Lonzo Ball is an American professional basketball point guard known for his playmaking, court vision, and being a high draft pick who began his NBA career with the Los Angeles Lakers.
-
C.
Zion Williamson
Zion Williamson is an explosive, high-flying NBA forward known for his rare combination of power, athleticism, and scoring ability.
-
D.
Myles O'Neal
Myles O'Neal is an American DJ, model, and television personality known for his appearances on reality TV and his work in fashion and music.
-
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 (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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4b738881908f8a205466397f33 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.