Triple

T15045650
Position Surface form Disambiguated ID Type / Status
Subject Gorgon City E379217 entity
Predicate notableWork P4 FINISHED
Object There for You E1133844 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: There for You | Statement: [Gorgon City, notableWork, There for You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: There for You
Context triple: [Gorgon City, notableWork, There for You]
  • A. There for You
    "There for You" is a 2017 electronic dance music single by Dutch DJ and producer Martin Garrix, featuring vocals from Australian singer Troye Sivan.
  • B. Here for You chosen
    "Here for You" is a popular electronic dance track by British production duo Gorgon City, known for its soulful vocals and club-ready house sound.
  • C. Die For You
    "Die For You" is a popular R&B song by Canadian singer The Weeknd, known for its emotive vocals, atmospheric production, and enduring chart success.
  • D. This One's for You
    "This One's for You" is a 1976 pop album by Barry Manilow that includes the hit single "Looks Like We Made It" and helped solidify his popularity in the late 1970s.
  • E. All for You
    All for You is a song written by Wayne Garfield, best known as one of his notable contributions to contemporary music.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.