Triple

T15193376
Position Surface form Disambiguated ID Type / Status
Subject The All Golden E363080 entity
Predicate partOfAlbum P35 FINISHED
Object Songs Cycled E73851 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: Songs Cycled | Statement: [The All Golden, partOfAlbum, Songs Cycled]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Songs Cycled
Context triple: [The All Golden, partOfAlbum, Songs Cycled]
  • A. Songs Cycled chosen
    Songs Cycled is a 2013 studio album by American composer and arranger Van Dyke Parks that revisits and reimagines his eclectic songwriting across new and previously released material.
  • B. Canciones (Songs)
    Canciones (Songs) is a collection of lyrical poems by the Spanish Renaissance poet Garcilaso de la Vega, showcasing his refined style and themes of love and classical humanism.
  • C. Coded Tunes
    Coded Tunes is a Nigerian music record label known for helping launch the career of rapper Olamide and other prominent Afrobeats artists.
  • D. Singing Songs
    "Singing Songs" is a semi-autobiographical novel by Meg Tilly that explores a young girl's experience growing up in a troubled, abusive family.
  • E. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067eb710819085211fd05d5fa5f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.