Triple

T18634344
Position Surface form Disambiguated ID Type / Status
Subject Illuminations E455503 entity
Predicate hasTrack P3284 FINISHED
Object Guess Who I Saw in Paris 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: Guess Who I Saw in Paris | Statement: [Illuminations, hasTrack, Guess Who I Saw in Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guess Who I Saw in Paris
Context triple: [Illuminations, hasTrack, Guess Who I Saw in Paris]
  • A. An Evening in Paris
    An Evening in Paris is a 1967 Hindi romantic thriller film, noted for its exotic European setting, stylish music, and one of Sharmila Tagore’s most iconic screen performances.
  • B. I Love Paris
    "I Love Paris" is a popular Cole Porter song, notably recorded by jazz singer Ella Fitzgerald on her acclaimed Cole Porter songbook album.
  • C. Weekend in Paris
    "Weekend in Paris" is a song by the British pop group Dollar from their 1982 album *The Dollar Album* (also known as *Madness, Money & Music*).
  • D. While Paris Sleeps
    While Paris Sleeps is a 1932 American pre-Code crime drama film directed by Hamilton MacFadden and set in Paris.
  • E. Guess Who I Saw Today chosen
    "Guess Who I Saw Today" is a classic jazz vocal song closely associated with singer Nancy Wilson, celebrated for its storytelling lyrics and sophisticated, emotive delivery.
  • 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.