Triple

T10475512
Position Surface form Disambiguated ID Type / Status
Subject Ctrl E247035 entity
Predicate notableTrack P8087 FINISHED
Object Love Galore E865700 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: Love Galore | Statement: [Ctrl, notableTrack, Love Galore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Galore
Context triple: [Ctrl, notableTrack, Love Galore]
  • A. Love Galore chosen
    "Love Galore" is a popular R&B song by American singer SZA, featuring Travis Scott, known for its sultry production and themes of complicated romance.
  • B. Love Affair
    "Love Affair" is a song featured on the album "Afterglow," known for its romantic themes and emotive musical style.
  • C. Love Affair
    Love Affair is a classic 1939 romantic drama film about two strangers who fall in love on an ocean liner and agree to reunite later, a story so enduring it inspired the famous remake An Affair to Remember.
  • D. Love Affair
    Love Affair is a 1994 romantic drama film starring Warren Beatty and Annette Bening, known as a remake of the classic 1939 movie of the same name.
  • E. Love in Excess
    Love in Excess is an early 18th-century amatory novel by Eliza Haywood that explores intense passion, desire, and the complexities of romantic entanglements in Restoration-era high society.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094f6b408190a5a26b1a82e4a02b completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90db8b1288190bb6bb064cb0724e0 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:21 p.m.