Triple

T19139803
Position Surface form Disambiguated ID Type / Status
Subject Mr. Misunderstood E468525 entity
Predicate hasTrack P3284 FINISHED
Object Record Year 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: Record Year | Statement: [Mr. Misunderstood, hasTrack, Record Year]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Record Year
Context triple: [Mr. Misunderstood, hasTrack, Record Year]
  • A. Record Year chosen
    "Record Year" is a country song by American singer-songwriter Eric Church, known for its clever wordplay about heartbreak and healing through music and vinyl records.
  • B. Yearby
    Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
  • C. Record Records
    Record Records is an Icelandic independent record label known for releasing music by artists such as Of Monsters and Men.
  • D. Through the Years
    "Through the Years" is a popular country-pop ballad by Kenny Rogers, widely recognized as one of his signature love songs and a staple of adult contemporary radio.
  • E. Across the Years
    Across the Years is a novel by Eleanor H. Porter, best known for its themes of family, resilience, and emotional transformation.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3ef883c8190829138a560f2a3dc completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.