Triple

T2010313
Position Surface form Disambiguated ID Type / Status
Subject Court and Spark E43673 entity
Predicate hasSingle P3282 FINISHED
Object Free Man in Paris E43840 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: Free Man in Paris | Statement: [Court and Spark, hasSingle, Free Man in Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Free Man in Paris
Context triple: [Court and Spark, hasSingle, Free Man in Paris]
  • A. Free Man in Paris chosen
    "Free Man in Paris" is a 1974 folk-rock song by Joni Mitchell that reflects on the pressures of the music industry through the perspective of her friend and producer David Geffen.
  • B. 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.
  • C. 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.”
  • D. Fifty Million Frenchmen
    Fifty Million Frenchmen is a 1929 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and Parisian setting.
  • E. Le Ventre de Paris
    Le Ventre de Paris is a naturalist novel by Émile Zola that vividly portrays life around Paris’s central market, Les Halles, while exploring themes of social conflict, hunger, and abundance.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8afe6f8819092679c86d1f2d041 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe3480c8190add171121653fc8a completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.