Triple

T8427669
Position Surface form Disambiguated ID Type / Status
Subject Just a Little More Love E199041 entity
Predicate followedBy P78 FINISHED
Object Guetta Blaster E199042 NE FINISHED

How this triple was built (2 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: Guetta Blaster | Statement: [Just a Little More Love, followedBy, Guetta Blaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guetta Blaster
Context triple: [Just a Little More Love, followedBy, Guetta Blaster]
  • A. Guetta Blaster chosen
    Guetta Blaster is a studio album by French DJ and producer David Guetta that helped establish his early international reputation in electronic dance music.
  • B. Go D.J.
    "Go D.J." is a popular single by American rapper Lil Wayne, best known for its catchy Mannie Fresh-produced beat and its role in boosting Wayne’s mainstream prominence.
  • C. Kill the DJ
    "Kill the DJ" is a punk rock song by Green Day from their 2012 album ¡Uno!, noted for its dance-punk style and politically tinged lyrics.
  • D. Hellzapoppin'
    Hellzapoppin' is a 1941 American musical comedy film, based on the hit Broadway revue, known for its anarchic humor, breaking of the fourth wall, and influential swing-era dance sequences.
  • E. The Drop
    The Drop is a crime drama novel by Dennis Lehane that follows a lonely bartender entangled in a dangerous scheme involving mob money, a stray dog, and a mysterious woman in working-class Brooklyn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce036dec9481908564ea2828ea429b completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.