Triple

T37752561
Position Surface form Disambiguated ID Type / Status
Subject Susan Cooper (Spy) E941019 entity
Predicate notableDisguise P20150 FINISHED
Object Midwestern tourist cover identity 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: Midwestern tourist cover identity | Statement: [Susan Cooper (Spy), notableDisguise, Midwestern tourist cover identity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDisguise
Context triple: [Susan Cooper (Spy), notableDisguise, Midwestern tourist cover identity]
  • A. disguisedAs chosen
    Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
  • B. usesMasksOrDisguises
    Indicates that an entity employs masks, costumes, or other forms of disguise to conceal or alter its identity in the context of an action or interaction.
  • C. methodOfInfiltration
    Indicates the specific technique or approach used to secretly gain access to or penetrate a target, system, or organization.
  • D. headquartersDisguise
    Indicates that an entity’s headquarters is concealed, misrepresented, or disguised as something else.
  • E. hidesInPlainSight
    Indicates that an entity conceals itself or its true nature while remaining visible or seemingly ordinary within its surroundings.
  • 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_69f76ee1f3a88190834e6c8af99bccc9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:19 p.m.