Triple

T20005927
Position Surface form Disambiguated ID Type / Status
Subject Child of Deaf Adults E494460 entity
Predicate hasRelatedTerm P37 FINISHED
Object KODA
KODA refers to a hearing child born to one or more deaf parents, often growing up bilingual in spoken and signed languages and navigating both deaf and hearing cultures.
E1405915 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: KODA | Statement: [Child of Deaf Adults, hasRelatedTerm, KODA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KODA
Context triple: [Child of Deaf Adults, hasRelatedTerm, KODA]
  • A. KOD
    KOD is a 2018 studio album by American rapper J. Cole that explores themes of addiction, consumerism, and mental health through a mix of introspective lyricism and social commentary.
  • B. Kode
    Kode is a music producer known for crafting high-impact tracks for prominent artists in the Superstar music scene.
  • C. Kody
    Kody is a character featured in the film "Yourself or Someone Like You."
  • D. Kotoden
    Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
  • E. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • 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: KODA
Triple: [Child of Deaf Adults, hasRelatedTerm, KODA]
Generated description
KODA refers to a hearing child born to one or more deaf parents, often growing up bilingual in spoken and signed languages and navigating both deaf and hearing cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KODA
Target entity description: KODA refers to a hearing child born to one or more deaf parents, often growing up bilingual in spoken and signed languages and navigating both deaf and hearing cultures.
  • A. KOD
    KOD is a 2018 studio album by American rapper J. Cole that explores themes of addiction, consumerism, and mental health through a mix of introspective lyricism and social commentary.
  • B. Kode
    Kode is a music producer known for crafting high-impact tracks for prominent artists in the Superstar music scene.
  • C. Kody
    Kody is a character featured in the film "Yourself or Someone Like You."
  • D. Kotoden
    Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
  • E. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a57ef881909115c8aa232b1012 completed April 20, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08050fcc088190a839c529cda3f588 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a08061f6aa08190a7c8b4fc55ea1400 completed May 16, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a080706231c819081499808132fad82 completed May 16, 2026, 5:56 a.m.
Created at: April 11, 2026, 3:33 p.m.