Triple
T17360839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Prydz |
E422061
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Every Day |
—
|
NE ONDG |
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: Every Day | Statement: [Eric Prydz, notableWork, Every Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Every Day Context triple: [Eric Prydz, notableWork, Every Day]
-
A.
Every Day
Every Day is a poetry collection by American Beat Generation poet Philip Whalen, reflecting his characteristic blend of Zen-influenced insight, wit, and everyday observation.
-
B.
Every Day
Every Day is a critically acclaimed 2002 downtempo and nu-jazz album by The Cinematic Orchestra known for its lush, cinematic soundscapes and jazz-infused electronic production.
-
C.
Every Day of Your Life
"Every Day of Your Life" is a song featured on the album *A Family Affair*, likely reflecting the record’s themes of personal relationships and everyday emotional experiences.
-
D.
One Day
"One Day" is a socially conscious hip-hop track by Jeru the Damaja known for its sharp critique of the music industry and moral decay in society.
-
E.
One Day
One Day is a romantic drama film, based on David Nicholls' novel, that follows the evolving relationship between two friends by revisiting them on the same date over many years.
- 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: Every Day Triple: [Eric Prydz, notableWork, Every Day]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Every Day Target entity description: "Every Day" is a progressive house track by Swedish DJ and producer Eric Prydz, known for its uplifting melody and emotive vocal-driven production.
-
A.
Every Day
Every Day is a poetry collection by American Beat Generation poet Philip Whalen, reflecting his characteristic blend of Zen-influenced insight, wit, and everyday observation.
-
B.
Every Day
Every Day is a critically acclaimed 2002 downtempo and nu-jazz album by The Cinematic Orchestra known for its lush, cinematic soundscapes and jazz-infused electronic production.
-
C.
Every Day of Your Life
"Every Day of Your Life" is a song featured on the album *A Family Affair*, likely reflecting the record’s themes of personal relationships and everyday emotional experiences.
-
D.
One Day
"One Day" is a socially conscious hip-hop track by Jeru the Damaja known for its sharp critique of the music industry and moral decay in society.
-
E.
One Day
One Day is a romantic drama film, based on David Nicholls' novel, that follows the evolving relationship between two friends by revisiting them on the same date over many years.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.