Triple

T16304479
Position Surface form Disambiguated ID Type / Status
Subject The Voice of the Heroes E395870 entity
Predicate hasPart P35 FINISHED
Object Okay E1087641 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: Okay | Statement: [The Voice of the Heroes, hasPart, Okay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okay
Context triple: [The Voice of the Heroes, hasPart, Okay]
  • A. Okay
    Okay is a small town in Wagoner County, Oklahoma, known for its rural character and tight-knit community.
  • B. Okay chosen
    "Okay" is a popular Afrobeats song by Nigerian singer Adekunle Gold, known for its smooth blend of highlife influences and introspective, uplifting lyrics.
  • C. OK
    OK is the official two-letter United States Postal Service abbreviation for the state of Oklahoma.
  • D. OK
    "OK" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
  • E. OK
    OK is the station code assigned to Oakton–Skokie station on the Chicago Transit Authority’s Yellow Line.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d42f1c81908a6869244d727e99 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa16e3c81908a92225b5b57d711 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.