Triple

T13854314
Position Surface form Disambiguated ID Type / Status
Subject Kate Kane E333023 entity
Predicate affiliation P10 FINISHED
Object DEO
DEO is a covert government agency in the DC Comics universe that specializes in monitoring and combating metahuman and alien threats.
 E1066077 NE FINISHED

How this triple was built (4 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: DEO | Statement: [Kate Kane, affiliation, DEO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DEO
Context triple: [Kate Kane, affiliation, DEO]
  • A. DEO
    DEO is the New York Stock Exchange ticker symbol for Diageo, a leading global producer of alcoholic beverages including brands like Johnnie Walker, Guinness, and Smirnoff.
  • B. DIOS
    DIOS is a Swedish company, often stylized as Diös, that focuses on owning and managing commercial and residential properties, primarily in northern Sweden.
  • C. DEE
    DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
  • D. Dele
    Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
  • E. Dea
    Dea is a central character in Victor Hugo's novel "L'Homme qui rit," known as a blind, ethereal young woman whose purity and love profoundly shape the story's tragic hero.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DEO
Triple: [Kate Kane, affiliation, DEO]
Generated description
DEO is a covert government agency in the DC Comics universe that specializes in monitoring and combating metahuman and alien threats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DEO
Target entity description: DEO is a covert government agency in the DC Comics universe that specializes in monitoring and combating metahuman and alien threats.
  • A. DEO
    DEO is the New York Stock Exchange ticker symbol for Diageo, a leading global producer of alcoholic beverages including brands like Johnnie Walker, Guinness, and Smirnoff.
  • B. DIOS
    DIOS is a Swedish company, often stylized as Diös, that focuses on owning and managing commercial and residential properties, primarily in northern Sweden.
  • C. DEE
    DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
  • D. Dele
    Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
  • E. Dea
    Dea is a central character in Victor Hugo's novel "L'Homme qui rit," known as a blind, ethereal young woman whose purity and love profoundly shape the story's tragic hero.
  • F. None of above. chosen

Provenance (5 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02db9c9c81909bb2d2fbfb7394b1 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f924808190856dd0116962eda7 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:14 p.m.