Triple

T18048058
Position Surface form Disambiguated ID Type / Status
Subject Do It for Love E431843 entity
Predicate title P38 FINISHED
Object Do It for Love NE NERFINISHED

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: Do It for Love | Statement: [Do It for Love, title, Do It for Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Do It for Love
Context triple: [Do It for Love, title, Do It for Love]
  • A. Do It for Love
    "Do It for Love" is a song best known as a notable track by the artist Do You.
  • B. Do It for Love chosen
    Do It for Love is a studio album by British singer and television personality Alesha Dixon, showcasing her blend of pop and R&B influences.
  • C. Do It All For Love
    "Do It All For Love" is a song by the British rock band III.
  • D. What I Did for Love
    "What I Did for Love" is a popular ballad from the Broadway musical A Chorus Line, widely recognized as one of Marvin Hamlisch’s signature theater songs.
  • E. Lovin' It
    "Lovin' It" is a standout hip-hop track by rapper Phonte, known for its witty lyricism and soulful, laid-back production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff39394819080407e1614bd5da9 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.