Triple
T16974593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Sun-kyun |
E411776
|
entity |
| Predicate | castMemberOf |
P7010
|
FINISHED |
| Object | Pasta |
E1242690
|
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: Pasta | Statement: [Lee Sun-kyun, castMemberOf, Pasta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasta Context triple: [Lee Sun-kyun, castMemberOf, Pasta]
-
A.
Pasta
chosen
Pasta is a South Korean television drama series starring Lee Sun-kyun that centers on the high-pressure world of an Italian restaurant kitchen and the relationships among its chefs.
-
B.
Macaroni
Macaroni was a notable 19th-century British Thoroughbred racehorse and influential sire in bloodlines of classic winners.
-
C.
Noodles
Noodles is the stage name and alias of Masta Killa, a member of the influential hip-hop group Wu-Tang Clan.
-
D.
Noodles
Noodles is the lead guitarist of the American punk rock band The Offspring, known for his energetic playing style and long tenure with the group.
-
E.
Penne
Penne is a historic hill town in Italy’s Abruzzo region, notable for its ancient Vestini roots and well-preserved medieval architecture.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.