Triple

T15595106
Position Surface form Disambiguated ID Type / Status
Subject Love Makes the World E374871 entity
Predicate hasTitle P38 FINISHED
Object Love Makes the World E374871 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 Makes the World | Statement: [Love Makes the World, hasTitle, Love Makes the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Makes the World
Context triple: [Love Makes the World, hasTitle, Love Makes the World]
  • A. Love Makes the World chosen
    "Love Makes the World" is a song by Carole King featured on her live album *The Living Room Tour*.
  • B. Love Makes the World Go
    Love Makes the World Go is a musical work by renowned American composer Richard Rodgers, known for his influential contributions to 20th-century musical theatre.
  • C. Love the World
    "Love the World" is a popular electropop single by Japanese girl group Perfume, known for its catchy melody and futuristic production.
  • D. Love the World Away
    "Love the World Away" is a country-pop ballad recorded by Kenny Rogers, best known for its inclusion on the soundtrack of the 1980 film "Urban Cowboy."
  • E. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.