Triple
T16845340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spam Restaurant |
E409521
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Spam (food) |
E874149
|
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: Spam (food) | Statement: [Spam Restaurant, relatedTo, Spam (food)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spam (food) Context triple: [Spam Restaurant, relatedTo, Spam (food)]
-
A.
SPAM canned meat
chosen
SPAM canned meat is a famous brand of precooked, canned pork product known for its long shelf life, distinctive taste, and cultural impact worldwide.
-
B.
Spam Restaurant
Spam Restaurant is a famous Monty Python comedy sketch set in a café where nearly every dish on the menu comically includes Spam.
-
C.
Earfood
Earfood is a critically acclaimed jazz album by trumpeter Roy Hargrove, celebrated for its soulful compositions and modern hard-bop sound.
-
D.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
E.
Fried
Fried is the surname of Elaine de Kooning, an influential American Abstract Expressionist painter and art critic associated with the New York School.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3541a008190b2a97cfea92b170f |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1b47648190909eaaf4e1e8e4c3 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.