Triple

T18634435
Position Surface form Disambiguated ID Type / Status
Subject Power in the Blood E455505 entity
Predicate hasPart P35 FINISHED
Object Sing Our Own Song NE NERFINISHED

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: Sing Our Own Song | Statement: [Power in the Blood, hasPart, Sing Our Own Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sing Our Own Song
Context triple: [Power in the Blood, hasPart, Sing Our Own Song]
  • A. Sing Our Own Song chosen
    "Sing Our Own Song" is a politically charged reggae track by British band UB40, known for its anti-apartheid message and anthemic chorus.
  • B. Singing My Song
    "Singing My Song" is a country music single by Tammy Wynette, known for its emotional lyrics and success on the country charts in the late 1960s.
  • C. The Song We Were Singing
    "The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
  • D. Sing My Songs to Me
    "Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
  • E. Our Song
    "Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc74d208190bfda63b5b0b160cd completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.