Triple

T5695835
Position Surface form Disambiguated ID Type / Status
Subject Can-Can E125536 entity
Predicate notableSong P4 FINISHED
Object I Love Paris E387446 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: I Love Paris | Statement: [Can-Can, notableSong, I Love Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Love Paris
Context triple: [Can-Can, notableSong, I Love Paris]
  • A. I Love Paris chosen
    "I Love Paris" is a popular Cole Porter song, notably recorded by jazz singer Ella Fitzgerald on her acclaimed Cole Porter songbook album.
  • B. April in Paris
    "April in Paris" is a celebrated jazz album and title track by Count Basie, renowned for its swinging big band arrangements and iconic status in the jazz canon.
  • C. Paris When It Sizzles
    Paris When It Sizzles is a 1964 romantic comedy film starring Audrey Hepburn and William Holden, known for its playful, self-referential take on Hollywood screenwriting.
  • D. The Last Time I Saw Paris
    The Last Time I Saw Paris is a 1954 romantic drama film starring Elizabeth Taylor and Van Johnson, adapted from F. Scott Fitzgerald’s short story “Babylon Revisited.”
  • E. Equal in Paris
    "Equal in Paris" is an autobiographical essay by James Baldwin recounting his arrest and imprisonment in Paris, used to explore themes of race, justice, and identity.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.