Triple

T6269735
Position Surface form Disambiguated ID Type / Status
Subject Under the Blue Moon E140498 entity
Predicate follows P134 FINISHED
Object All for Love E478611 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: All for Love | Statement: [Under the Blue Moon, follows, All for Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All for Love
Context triple: [Under the Blue Moon, follows, All for Love]
  • A. All for Love
    All for Love is a 1985 R&B and pop studio album by American boy band New Edition, featuring hits that helped solidify their status in the mid-1980s music scene.
  • B. All for Love chosen
    All for Love is a 1993 power ballad performed by Bryan Adams, Rod Stewart, and Sting, best known as the theme song for the film "The Three Musketeers."
  • C. All for Love
    All for Love is a 1677 tragic play by John Dryden that retells the story of Antony and Cleopatra in a neoclassical style focused on intense emotional conflict and moral choice.
  • D. Lovers
    Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
  • E. For Love’s Sake
    For Love’s Sake is a song by American country artist Dwight Yoakam, featured on his 2000 album "Tomorrow’s Sounds Today."
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a3f1d081908ccff88db94b1f9c completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603ee891481909f640f54b70f9d60 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:25 p.m.