Triple
T4161609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low |
E91544
|
entity |
| Predicate | knownForSong |
P15030
|
FINISHED |
| Object |
Plastic Cup
"Plastic Cup" is a song by the indie rock band Low, noted for its understated, melancholic style and reflective lyrics.
|
E417122
|
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: Plastic Cup | Statement: [Low, knownForSong, Plastic Cup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plastic Cup Context triple: [Low, knownForSong, Plastic Cup]
-
A.
Dixie cups and plates
Dixie cups and plates are a well-known line of disposable paper and plastic tableware commonly used for serving drinks and food at casual gatherings and everyday occasions.
-
B.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
C.
Copper Bowl
The Copper Bowl was a college football postseason bowl game played annually in Arizona, later renamed the Insight Bowl and then the Cactus Bowl.
-
D.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
E.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
- 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: Plastic Cup Triple: [Low, knownForSong, Plastic Cup]
Generated description
"Plastic Cup" is a song by the indie rock band Low, noted for its understated, melancholic style and reflective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plastic Cup Target entity description: "Plastic Cup" is a song by the indie rock band Low, noted for its understated, melancholic style and reflective lyrics.
-
A.
Dixie cups and plates
Dixie cups and plates are a well-known line of disposable paper and plastic tableware commonly used for serving drinks and food at casual gatherings and everyday occasions.
-
B.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
C.
Copper Bowl
The Copper Bowl was a college football postseason bowl game played annually in Arizona, later renamed the Insight Bowl and then the Cactus Bowl.
-
D.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
E.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b5800a12e48190b184373464930b1e |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580af3eb88190a89d5827e32293c1 |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.