Triple

T21521087
Position Surface form Disambiguated ID Type / Status
Subject Tadd Dameron E530975 entity
Predicate notableWork P4 FINISHED
Object If You Could See Me Now 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: If You Could See Me Now | Statement: [Tadd Dameron, notableWork, If You Could See Me Now]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If You Could See Me Now
Context triple: [Tadd Dameron, notableWork, If You Could See Me Now]
  • A. If You Could See Me Now chosen
    "If You Could See Me Now" is a jazz standard closely associated with trumpeter Chet Baker, known for its lyrical melody and introspective, romantic mood.
  • B. If You Could See Her
    "If You Could See Her" is a satirical and controversial musical number from the stage and film versions of *Cabaret*, performed in the Kit Kat Klub to critique rising antisemitism in 1930s Berlin.
  • C. See Me Now
    "See Me Now" is a song released as part of Kanye West's GOOD Fridays music series.
  • D. If You Could See What I Hear
    If You Could See What I Hear is a 1982 biographical comedy-drama film based on the life of blind musician and comedian Tom Sullivan.
  • E. Come See Me
    "Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884bfa548190a39e5992ed6bb8a8 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.