Triple

T15122242
Position Surface form Disambiguated ID Type / Status
Subject Justice E361196 entity
Predicate includesTrack P3284 FINISHED
Object Die For You E331479 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: Die For You | Statement: [Justice, includesTrack, Die For You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Die For You
Context triple: [Justice, includesTrack, Die For You]
  • A. Die For You chosen
    "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.
  • B. 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.
  • C. All for You
    All for You is a song written by Wayne Garfield, best known as one of his notable contributions to contemporary music.
  • D. All for You
    All for You is a 2001 dance-pop and R&B song by Janet Jackson that became one of her signature hits, known for its upbeat groove and chart-topping success.
  • E. All for You
    All for You is a 2001 pop and R&B studio album by Janet Jackson known for its upbeat dance tracks and themes of liberation and sensuality.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f4abd08190b47c9daff2921919 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.