Triple

T20445316
Position Surface form Disambiguated ID Type / Status
Subject American IV: The Man Comes Around E501501 entity
Predicate hasTrack P3284 FINISHED
Object We'll Meet Again — 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: We'll Meet Again | Statement: [American IV: The Man Comes Around, hasTrack, We'll Meet Again]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: We'll Meet Again
Context triple: [American IV: The Man Comes Around, hasTrack, We'll Meet Again]
  • A. We’ll Meet Again chosen
    "We’ll Meet Again" is a famous World War II–era song, popularized by British singer Vera Lynn, that became an emblematic anthem of hope and reunion during wartime separation.
  • B. We Will Meet Again
    "We Will Meet Again" is a song featured on the album "Evolution."
  • C. Meet Me in the Morning
    "Meet Me in the Morning" is a blues-infused song by Bob Dylan, featured on his acclaimed 1975 album Blood on the Tracks.
  • D. I’ll Be Seeing You
    "I’ll Be Seeing You" is a 1944 American romantic drama film, noted for its wartime setting and poignant story of two troubled strangers who meet and fall in love over the Christmas holidays.
  • E. I’ll Be Seeing You
    "I’ll Be Seeing You" is a suspense novel by Mary Higgins Clark that follows a television reporter drawn into a dangerous mystery after recognizing her own face on a missing woman’s body.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfca4788190ad57ecb504f54d11 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.