Triple

T37256210
Position Surface form Disambiguated ID Type / Status
Subject Mr. Cogswell E924133 entity
Predicate hasFictionalUniverseTechnologyLevel P84656 FINISHED
Object futuristic 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: futuristic | Statement: [Mr. Cogswell, hasFictionalUniverseTechnologyLevel, futuristic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalUniverseTechnologyLevel
Context triple: [Mr. Cogswell, hasFictionalUniverseTechnologyLevel, futuristic]
  • A. hasFictionalUniverseElement
    Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
  • B. hasImaginedTechnologyLevel
    Indicates that an entity is associated with a specified level of technological advancement as imagined or conceptualized, rather than actually realized.
  • C. hasFictionalUniverseStatus
    Indicates that an entity holds a particular status or classification within a fictional universe or continuity.
  • D. hasFictionalUniverseType
    Indicates that an entity is associated with, or belongs to, a particular type or category of fictional universe.
  • E. hasFictionalUniverseProperty chosen
    Indicates that a fictional universe possesses a specific characteristic, attribute, or property.
  • 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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a0058c341ac8190825067dc25158839 completed May 10, 2026, 10:06 a.m.
PD Predicate disambiguation batch_6a005857249c81908b27587b84d84dbb completed May 10, 2026, 10:05 a.m.
Created at: May 3, 2026, 4:15 p.m.