Triple

T120149
Position Surface form Disambiguated ID Type / Status
Subject The Mark of Zorro E2426 entity
Predicate registrySelectionReason P3364 FINISHED
Object culturally, historically, or aesthetically significant LITERAL 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: culturally, historically, or aesthetically significant | Statement: [The Mark of Zorro, registrySelectionReason, culturally, historically, or aesthetically significant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: registrySelectionReason
Context triple: [The Mark of Zorro, registrySelectionReason, culturally, historically, or aesthetically significant]
  • A. selectionReason chosen
    Indicates the reason or justification for choosing or selecting one entity over alternatives.
  • B. selectionMadeBy
    Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
  • C. reasonForMerger
    Indicates the underlying cause, motivation, or justification for why two or more entities merged.
  • D. selectionCriteria
    Indicates the conditions or rules used to choose certain entities from a larger set.
  • E. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • F. None of above.

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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a258fd278481908ad4498e03f38e2f completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a25647fe6081908cb0405266d35ff5 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.