Triple

T7850400
Position Surface form Disambiguated ID Type / Status
Subject Margaret Mazzantini E182034 entity
Predicate wrote P2831 FINISHED
Object Zorro E699970 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: Zorro | Statement: [Margaret Mazzantini, wrote, Zorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zorro
Context triple: [Margaret Mazzantini, wrote, Zorro]
  • A. Zorro
    Zorro is a masked, sword-wielding vigilante hero of early California, known for defending the oppressed and leaving his trademark "Z" mark.
  • B. Zorro chosen
    Zorro is a novel by Italian author Margaret Mazzantini, known for its intense psychological depth and exploration of complex human relationships.
  • C. The Legend of Zorro
    The Legend of Zorro is a 2005 swashbuckling action-adventure film that continues the story of the masked vigilante Zorro as he balances heroism with family life in mid-19th-century California.
  • D. Zorro, The Gay Blade
    Zorro, The Gay Blade is a 1981 comedy film that parodies the classic Zorro legend, starring George Hamilton in dual roles as the swashbuckling hero and his flamboyant twin brother.
  • E. The Mask of Zorro
    The Mask of Zorro is a 1998 swashbuckling adventure film that revitalized the classic Zorro character with a blend of action, romance, and humor.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf1834b08190ab9fd79387e496a7 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:50 p.m.