Triple
T10323919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Yeun |
E242709
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beef |
E498012
|
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: Beef | Statement: [Steven Yeun, notableWork, Beef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beef Context triple: [Steven Yeun, notableWork, Beef]
-
A.
Beef
chosen
Beef is a dark comedy-drama television series that follows an escalating feud between two strangers after a road rage incident, produced and distributed by the independent entertainment company A24.
-
B.
Omi beef
Omi beef is a premium wagyu brand from Japan’s Shiga Prefecture, renowned for its fine marbling, tenderness, and rich flavor, and regarded as one of the country’s top three beef varieties.
-
C.
Ground Chuck
Ground Chuck was the nickname of Chuck Knox, a successful NFL head coach known for his run-heavy offensive philosophy and emphasis on physical, ground-based football.
-
D.
Kobe beef
Kobe beef is a highly prized, richly marbled wagyu beef from Japan renowned for its exceptional tenderness and flavor.
-
E.
Awaji beef
Awaji beef is a premium, richly marbled wagyu beef from Japan’s Awaji Island, prized for its tenderness and deep flavor.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ce683c8190bf5385dd04bf2de8 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.