Triple

T13996600
Position Surface form Disambiguated ID Type / Status
Subject The Boy Who Knew Too Much E336713 entity
Predicate followedBy P78 FINISHED
Object The Origin of Love E340164 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: The Origin of Love | Statement: [The Boy Who Knew Too Much, followedBy, The Origin of Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Origin of Love
Context triple: [The Boy Who Knew Too Much, followedBy, The Origin of Love]
  • A. The Origin of Love chosen
    The Origin of Love is Mika’s third studio album, showcasing a more mature pop sound with electronic influences and introspective, love-centered lyrics.
  • B. On Love
    On Love is a philosophical and psychological treatise by Stendhal that analyzes the nature, stages, and illusions of romantic love.
  • C. The Face of Love
    The Face of Love is a romantic drama film about a grieving widow who becomes involved with a man who closely resembles her late husband.
  • D. Love's Divine
    "Love's Divine" is a soulful pop ballad by British singer-songwriter Seal, known for its emotive vocals and themes of redemption and spiritual love.
  • E. Aspects of Love
    Aspects of Love is a musical by Andrew Lloyd Webber that explores complex romantic relationships over time, based on the novel by David Garnett.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:19 p.m.