Triple

T23370075
Position Surface form Disambiguated ID Type / Status
Subject O.T. Genasis E593443 entity
Predicate notableWork P4 FINISHED
Object CoCo
"CoCo" is a 2014 trap single by American rapper O.T. Genasis that became widely known for its catchy hook and references to cocaine.
E1582797 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: CoCo | Statement: [O.T. Genasis, notableWork, CoCo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CoCo
Context triple: [O.T. Genasis, notableWork, CoCo]
  • A. Coo
    Coo is a small village in the Belgian Ardennes known for its waterfall and nearby amusement attractions.
  • B. Coe
    Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
  • C. Cooil
    Cooil is a small settlement in the parish of Braddan on the Isle of Man.
  • D. Nicoo
    Nicoo is an alternative spelling or variant form of the name Nico, often used as a personal or online nickname.
  • E. Coy
    Coy is a given name that can be used for individuals of any gender, often appearing in English-speaking contexts.
  • 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: CoCo
Triple: [O.T. Genasis, notableWork, CoCo]
Generated description
"CoCo" is a 2014 trap single by American rapper O.T. Genasis that became widely known for its catchy hook and references to cocaine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CoCo
Target entity description: "CoCo" is a 2014 trap single by American rapper O.T. Genasis that became widely known for its catchy hook and references to cocaine.
  • A. Coo
    Coo is a small village in the Belgian Ardennes known for its waterfall and nearby amusement attractions.
  • B. Coe
    Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
  • C. Cooil
    Cooil is a small settlement in the parish of Braddan on the Isle of Man.
  • D. Nicoo
    Nicoo is an alternative spelling or variant form of the name Nico, often used as a personal or online nickname.
  • E. Coy
    Coy is a given name that can be used for individuals of any gender, often appearing in English-speaking contexts.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aff84c8190a5a6bf52adae1c9a completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5ddbd8688190ba51358f22b8fb43 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f90146c8190b5035747abcfdb6e completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c601b5d288190b5cf4f3e0c8cde15 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:32 p.m.