Triple
T1601438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team LeBron |
E34400
|
entity |
| Predicate | player |
P30628
|
FINISHED |
| Object | Ben Simmons |
E51065
|
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: Ben Simmons | Statement: [Team LeBron, player, Ben Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Simmons Context triple: [Team LeBron, player, Ben Simmons]
-
A.
Ben Simmons
chosen
Ben Simmons is an Australian professional basketball player known for his elite playmaking and defense as a tall point forward in the NBA.
-
B.
Joel Embiid
Joel Embiid is a Cameroonian-American professional basketball center and NBA MVP known for his dominant two-way play and scoring prowess.
-
C.
Markelle Fultz
Markelle Fultz is an American professional basketball guard known for being a highly touted prospect whose early NBA career was disrupted by shoulder issues that affected his shooting.
-
D.
Zion Williamson
Zion Williamson is an explosive, high-flying NBA forward known for his rare combination of power, athleticism, and scoring ability.
-
E.
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."
- 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_69ad51bcdebc81909520786c560598b6 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:28 p.m.