Triple
T23145379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izitso |
E577570
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Was Dog a Doughnut?
"Was Dog a Doughnut?" is a quirky, synth-driven instrumental track by the electronic music project Izitso, known for its playful, experimental sound.
|
E1574645
|
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: Was Dog a Doughnut? | Statement: [Izitso, hasTrack, Was Dog a Doughnut?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Was Dog a Doughnut? Context triple: [Izitso, hasTrack, Was Dog a Doughnut?]
-
A.
Doggies
Doggies is a popular nickname for the Canterbury-Bankstown Bulldogs, a professional rugby league club based in Sydney, Australia.
-
B.
Dogg Food
Dogg Food is the 1995 debut studio album by hip hop duo Tha Dogg Pound, known for its West Coast G-funk sound and association with the Death Row Records roster.
-
C.
Dump the Dog
"Dump the Dog" is a song by the American rock band Unrequited.
-
D.
Strange Dogs
Strange Dogs is a science fiction novella set in James S. A. Corey’s Expanse universe, following a young girl who befriends mysterious alien creatures on a distant colony world.
-
E.
Dog’s Best Friend
Dog’s Best Friend is a book by Peter Rader, best known as a work by the writer and filmmaker behind the film Waterworld.
- 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: Was Dog a Doughnut? Triple: [Izitso, hasTrack, Was Dog a Doughnut?]
Generated description
"Was Dog a Doughnut?" is a quirky, synth-driven instrumental track by the electronic music project Izitso, known for its playful, experimental sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Was Dog a Doughnut? Target entity description: "Was Dog a Doughnut?" is a quirky, synth-driven instrumental track by the electronic music project Izitso, known for its playful, experimental sound.
-
A.
Doggies
Doggies is a popular nickname for the Canterbury-Bankstown Bulldogs, a professional rugby league club based in Sydney, Australia.
-
B.
Dogg Food
Dogg Food is the 1995 debut studio album by hip hop duo Tha Dogg Pound, known for its West Coast G-funk sound and association with the Death Row Records roster.
-
C.
Dump the Dog
"Dump the Dog" is a song by the American rock band Unrequited.
-
D.
Strange Dogs
Strange Dogs is a science fiction novella set in James S. A. Corey’s Expanse universe, following a young girl who befriends mysterious alien creatures on a distant colony world.
-
E.
Dog’s Best Friend
Dog’s Best Friend is a book by Peter Rader, best known as a work by the writer and filmmaker behind the film Waterworld.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecd40108190aaad7faf754b7936 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3093de588190bafd130d38fb8d01 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c351d75a881909f30bc078035f1eb |
completed | May 19, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c359a4fb4819082d923db91b3b14b |
completed | May 19, 2026, 10:04 a.m. |
Created at: April 17, 2026, 4:01 p.m.