Triple
T7418048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smile |
E171177
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Oak Felder |
E47628
|
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: Oak Felder | Statement: [Smile, producer, Oak Felder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oak Felder Context triple: [Smile, producer, Oak Felder]
-
A.
Oak Felder
chosen
Oak Felder is a Grammy-winning Turkish-American record producer and songwriter known for crafting pop and R&B hits for artists such as John Legend, Demi Lovato, and Alessia Cara.
-
B.
Reese Feldman
Reese Feldman is the primary villain and drug kingpin in the 2004 action-comedy film "Starsky & Hutch."
-
C.
Spencer Laudiero
Spencer Laudiero is an American animation director and storyboard artist known for his work on television series such as "Family Guy" and "The Orville."
-
D.
Jimmy Yuill
Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
-
E.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c9314c8190855b79a2e6ef3e9b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eed92888190bf9d11ab91378fa9 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.