Triple

T15939584
Position Surface form Disambiguated ID Type / Status
Subject Anti E386522 entity
Predicate single P3283 FINISHED
Object Love on the Brain E388141 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 on the Brain | Statement: [Anti, single, Love on the Brain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love on the Brain
Context triple: [Anti, single, Love on the Brain]
  • A. Love on the Brain chosen
    "Love on the Brain" is a soulful doo-wop and R&B ballad by Rihanna, acclaimed for its retro sound and powerful vocal performance.
  • B. On Love
    On Love is a philosophical and psychological treatise by Stendhal that analyzes the nature, stages, and illusions of romantic love.
  • C. A Mind of Its Own
    "A Mind of Its Own" is a pop ballad by Victoria Beckham, released as one of her solo singles following her career with the Spice Girls.
  • D. Mad Love
    Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
  • E. Mad Love
    "Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ad9988819089ad7822e0f46177 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.