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.