Triple

T17835143
Position Surface form Disambiguated ID Type / Status
Subject Vicki Lewis E445363 entity
Predicate voicedCharacter P2000 FINISHED
Object Deb
Deb is the high-strung, anglerfish wife of Bloat in Pixar’s animated film "Finding Nemo."
E1291126 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: Deb | Statement: [Vicki Lewis, voicedCharacter, Deb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deb
Context triple: [Vicki Lewis, voicedCharacter, Deb]
  • A. Debi
    Debi is a feminine given name most notably associated with American actress Debi Mazar.
  • B. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • C. DEB
    DEB is the IATA airport code for Debrecen International Airport in Debrecen, Hungary.
  • D. Debra
    Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
  • E. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • 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: Deb
Triple: [Vicki Lewis, voicedCharacter, Deb]
Generated description
Deb is the high-strung, anglerfish wife of Bloat in Pixar’s animated film "Finding Nemo."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deb
Target entity description: Deb is the high-strung, anglerfish wife of Bloat in Pixar’s animated film "Finding Nemo."
  • A. Debi
    Debi is a feminine given name most notably associated with American actress Debi Mazar.
  • B. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • C. DEB
    DEB is the IATA airport code for Debrecen International Airport in Debrecen, Hungary.
  • D. Debra
    Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
  • E. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f83e748190b9d111b12ee8e0b8 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0308403f7c81908570458c944eae34 completed May 12, 2026, 11 a.m.
NED2 Entity disambiguation (via description) batch_6a0308d5d69481908402f366e561b8c0 completed May 12, 2026, 11:02 a.m.
Created at: April 10, 2026, 10:16 a.m.