Triple
T1601435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team LeBron |
E34400
|
entity |
| Predicate | player |
P30628
|
FINISHED |
| Object | Luka Dončić |
E75734
|
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: Luka Dončić | Statement: [Team LeBron, player, Luka Dončić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luka Dončić Context triple: [Team LeBron, player, Luka Dončić]
-
A.
Luka Dončić
chosen
Luka Dončić is a Slovenian NBA superstar guard/forward renowned for his elite playmaking, scoring, and clutch performances.
-
B.
Anthony Edwards
Anthony Edwards is an American actor best known for his role as Dr. Mark Greene on the television series "ER" and as Goose in the film "Top Gun."
-
C.
Eric Bledsoe
Eric Bledsoe is an American professional basketball player known for his strong defense and athletic playmaking at the point guard position in the NBA.
-
D.
Ben Simmons
Ben Simmons is an Australian professional basketball player known for his elite playmaking and defense as a tall point forward in the NBA.
-
E.
Giannis Antetokounmpo
Giannis Antetokounmpo is a Greek-Nigerian professional basketball player for the Milwaukee Bucks, renowned as one of the NBA’s most dominant and versatile superstars and a multiple-time MVP.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61df32a88190a7e823a77bdcc84a |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ad15b081908b59df18224c7a8f |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.