Triple
T15165761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheer-Accident |
E362336
|
entity |
| Predicate | hasAlbum |
P1995
|
FINISHED |
| Object |
Not a Food
Not a Food is an experimental rock album by the avant-garde Chicago band Cheer-Accident.
|
E1141568
|
NE FINISHED |
How this triple was built (4 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: Not a Food | Statement: [Cheer-Accident, hasAlbum, Not a Food]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Not a Food Context triple: [Cheer-Accident, hasAlbum, Not a Food]
-
A.
Not-a-Flamethrower
Not-a-Flamethrower is a limited-edition, flamethrower-like novelty device sold by Elon Musk’s The Boring Company as a tongue-in-cheek promotional product.
-
B.
No Beef
"No Beef" is a popular electro house track by Dutch DJ Afrojack, created in collaboration with Steve Aoki and known for its high-energy festival appeal.
-
C.
Impossible Foods
Impossible Foods is a food technology company best known for creating plant-based meat alternatives that closely mimic the taste and texture of animal products.
-
D.
Snack
Snack is the codename for the Operation Menu bombing campaign conducted by the United States during the Vietnam War, primarily targeting areas in Cambodia.
-
E.
Not For Radio
Not For Radio is a hip-hop track by rapper Nas, known for its politically charged lyrics and commentary on systemic oppression.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Not a Food Triple: [Cheer-Accident, hasAlbum, Not a Food]
Generated description
Not a Food is an experimental rock album by the avant-garde Chicago band Cheer-Accident.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Not a Food Target entity description: Not a Food is an experimental rock album by the avant-garde Chicago band Cheer-Accident.
-
A.
Not-a-Flamethrower
Not-a-Flamethrower is a limited-edition, flamethrower-like novelty device sold by Elon Musk’s The Boring Company as a tongue-in-cheek promotional product.
-
B.
No Beef
"No Beef" is a popular electro house track by Dutch DJ Afrojack, created in collaboration with Steve Aoki and known for its high-energy festival appeal.
-
C.
Impossible Foods
Impossible Foods is a food technology company best known for creating plant-based meat alternatives that closely mimic the taste and texture of animal products.
-
D.
Snack
Snack is the codename for the Operation Menu bombing campaign conducted by the United States during the Vietnam War, primarily targeting areas in Cambodia.
-
E.
Not For Radio
Not For Radio is a hip-hop track by rapper Nas, known for its politically charged lyrics and commentary on systemic oppression.
- F. None of above. chosen
Provenance (5 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec887fbf08190b42dd25a99b7770d |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
Created at: April 10, 2026, 3:08 a.m.