Triple

T1787336
Position Surface form Disambiguated ID Type / Status
Subject David Guetta E39421 entity
Predicate notableWork P4 FINISHED
Object Love Is Gone
"Love Is Gone" is a popular electronic dance track by French DJ and producer David Guetta that helped cement his rise in the international EDM scene.
 E199039 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: Love Is Gone | Statement: [David Guetta, notableWork, Love Is Gone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Love Is Gone
Context triple: [David Guetta, notableWork, Love Is Gone]
  • A. Lost in Love
    "Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
  • B. So Gone
    "So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
  • C. Goodbye My Lover
    "Goodbye My Lover" is a melancholic pop ballad by British singer-songwriter James Blunt, known for its emotional lyrics about heartbreak and loss.
  • D. Abandoned Love
    Abandoned Love is a 1970s-era Bob Dylan song, long unreleased, that poignantly reflects on romantic turmoil and emotional regret.
  • E. No Time for Love
    No Time for Love is a 1943 romantic comedy film directed by Mitchell Leisen, starring Claudette Colbert and Fred MacMurray.
  • 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: Love Is Gone
Triple: [David Guetta, notableWork, Love Is Gone]
Generated description
"Love Is Gone" is a popular electronic dance track by French DJ and producer David Guetta that helped cement his rise in the international EDM scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Love Is Gone
Target entity description: "Love Is Gone" is a popular electronic dance track by French DJ and producer David Guetta that helped cement his rise in the international EDM scene.
  • A. Lost in Love
    "Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
  • B. So Gone
    "So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
  • C. Goodbye My Lover
    "Goodbye My Lover" is a melancholic pop ballad by British singer-songwriter James Blunt, known for its emotional lyrics about heartbreak and loss.
  • D. Abandoned Love
    Abandoned Love is a 1970s-era Bob Dylan song, long unreleased, that poignantly reflects on romantic turmoil and emotional regret.
  • E. No Time for Love
    No Time for Love is a 1943 romantic comedy film directed by Mitchell Leisen, starring Claudette Colbert and Fred MacMurray.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.