Triple

T711314
Position Surface form Disambiguated ID Type / Status
Subject Sergeant Gonzales E14212 entity
Predicate enemyOf P437 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: [Sergeant Gonzales, enemyOf, Zorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zorro
Context triple: [Sergeant Gonzales, enemyOf, 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55c99fc8190941c5fd18551792a completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733031bc8190bbb0cd733ae023e9 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:36 p.m.