Triple

T32514050
Position Surface form Disambiguated ID Type / Status
Subject Nahasapeemapetilon E831011 entity
Predicate hasFictionalEthnicAssociation P178064 FINISHED
Object Indian 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: Indian | Statement: [Nahasapeemapetilon, hasFictionalEthnicAssociation, Indian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalEthnicAssociation
Context triple: [Nahasapeemapetilon, hasFictionalEthnicAssociation, Indian]
  • A. hasEthnicityInFiction chosen
    Indicates that a fictional character or entity is portrayed as having a particular ethnicity within a narrative or fictional context.
  • B. fictionalEthnicFocus
    Indicates that something is primarily concerned with, centered on, or thematically emphasizes a fictional or invented ethnic group.
  • C. associatedWithFictionalGroup
    Indicates that an entity has a connection or affiliation with a fictional group, organization, or collective.
  • D. hasFictionalDemographic
    Indicates that an entity is associated with a demographic group that is fictional or exists only within a created narrative or imagined context.
  • E. fictionalEthnoCulturalIdentity
    Indicates that an entity is associated with an invented or imaginary ethnic or cultural identity, rather than a real-world one.
  • 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fedd5a5f4c8190acce88db56303703 completed May 9, 2026, 7:08 a.m.
PD Predicate disambiguation batch_69fed910b31c8190ae837163d146738d completed May 9, 2026, 6:49 a.m.
Created at: May 1, 2026, 1 a.m.