Triple
T927730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis Sounds |
E20021
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Freddie Lewis |
E109920
|
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: Freddie Lewis | Statement: [Memphis Sounds, notablePlayer, Freddie Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freddie Lewis Context triple: [Memphis Sounds, notablePlayer, Freddie Lewis]
-
A.
Freddie Lewis
chosen
Freddie Lewis is a former American professional basketball guard best known for his standout play in the ABA, where he was a multiple-time All-Star and key contributor to several championship teams.
-
B.
Freddie
Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
-
C.
Freddie O’Connell
Freddie O’Connell is an American politician who serves as the mayor of Nashville, Tennessee.
-
D.
Teddy Riley
Teddy Riley is an American singer, songwriter, and producer widely credited with pioneering the new jack swing genre that fused R&B with hip-hop.
-
E.
Jeff Freeman
Jeff Freeman is a film editor known for his work on major Hollywood comedies, including serving as the editor of the movie "Ted 2."
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32de3cc81908a0ef885795677ff |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933a103908190a624039492079f82 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:40 p.m.