Triple

T872414
Position Surface form Disambiguated ID Type / Status
Subject Isabel Allende E18842 entity
Predicate notableWork P4 FINISHED
Object Zorro E84559 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: [Isabel Allende, notableWork, Zorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zorro
Context triple: [Isabel Allende, notableWork, Zorro]
  • A. Zorro chosen
    Zorro is a masked, sword-wielding vigilante hero of early California, known for defending the oppressed and leaving his trademark "Z" mark.
  • B. The Mark of Zorro
    The Mark of Zorro is a 1920 silent swashbuckler film that popularized the masked vigilante hero Zorro and helped establish Douglas Fairbanks as a major action star.
  • C. The Mark of Zorro
    The Mark of Zorro is a classic 1940 swashbuckler film in which Tyrone Power portrays the masked vigilante Zorro, a role that became one of his most iconic performances.
  • D. Don Diego Vega
    Don Diego Vega is the secret identity of Zorro, a masked vigilante nobleman who defends the oppressed in early 19th-century California.
  • E. Viva Villa!
    Viva Villa! is a 1934 biographical adventure film about Mexican revolutionary Pancho Villa, noted for its blend of action, drama, and historical spectacle.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac96850881908a2d776685126137 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84fb2d0819084c256023bc23dc5 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.