Triple

T16878896
Position Surface form Disambiguated ID Type / Status
Subject New Whirl Odor E421366 entity
Predicate producer P490 FINISHED
Object C-Doc
C-Doc is a hip-hop music producer known for his work with Public Enemy and other politically charged rap projects.
E1238820 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: C-Doc | Statement: [New Whirl Odor, producer, C-Doc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C-Doc
Context triple: [New Whirl Odor, producer, C-Doc]
  • A. DOCU
    DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
  • B. DOC
    DOC is the commonly used abbreviation for the New York City Department of Correction, the agency responsible for operating the city’s jail system.
  • C. DOC
    DOC is New Zealand’s government agency responsible for conserving the country’s natural and historic heritage, including national parks, native species, and protected areas.
  • D. DOC
    DOC (Denominação de Origem Controlada) is Portugal’s highest wine classification, designating wines from strictly regulated and geographically defined regions known for their quality and typicity.
  • E. DOC
    DOC is the commonly used abbreviation for the Division of Organic Chemistry, a professional organization focused on advancing research and education in organic chemistry.
  • 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: C-Doc
Triple: [New Whirl Odor, producer, C-Doc]
Generated description
C-Doc is a hip-hop music producer known for his work with Public Enemy and other politically charged rap projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C-Doc
Target entity description: C-Doc is a hip-hop music producer known for his work with Public Enemy and other politically charged rap projects.
  • A. DOCU
    DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
  • B. DOC
    DOC is the commonly used abbreviation for the New York City Department of Correction, the agency responsible for operating the city’s jail system.
  • C. DOC
    DOC is New Zealand’s government agency responsible for conserving the country’s natural and historic heritage, including national parks, native species, and protected areas.
  • D. DOC
    DOC (Denominação de Origem Controlada) is Portugal’s highest wine classification, designating wines from strictly regulated and geographically defined regions known for their quality and typicity.
  • E. DOC
    DOC is the commonly used abbreviation for the Division of Organic Chemistry, a professional organization focused on advancing research and education in organic chemistry.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f9aea0819090aef3c0c1ad349d completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b684108190928afb0a2d1af038 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3719c88819080279147f9bc415e completed May 10, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a00c4850dec819085ae8b51c94c11e7 completed May 10, 2026, 5:46 p.m.
Created at: April 10, 2026, 5:29 a.m.