Triple

T13257872
Position Surface form Disambiguated ID Type / Status
Subject Malik Yoba E315709 entity
Predicate familyName P18 FINISHED
Object Yoba
Yoba is the surname of American actor Malik Yoba, best known for his role on the television series "New York Undercover."
 E1031627 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: Yoba | Statement: [Malik Yoba, familyName, Yoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yoba
Context triple: [Malik Yoba, familyName, Yoba]
  • A. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • B. Yato
    Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • C. Yunguyo
    Yunguyo is a Peruvian town situated on the shores of Lake Titicaca near the border with Bolivia.
  • D. Yembana
    Yembana is a dialect of the Bulu language, a Bantu language spoken primarily in southern Cameroon.
  • E. Yawal
    Yawal is a town in the Indian state of Maharashtra, situated in the Jalgaon district and known for its agricultural surroundings and local markets.
  • 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: Yoba
Triple: [Malik Yoba, familyName, Yoba]
Generated description
Yoba is the surname of American actor Malik Yoba, best known for his role on the television series "New York Undercover."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yoba
Target entity description: Yoba is the surname of American actor Malik Yoba, best known for his role on the television series "New York Undercover."
  • A. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • B. Yato
    Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • C. Yunguyo
    Yunguyo is a Peruvian town situated on the shores of Lake Titicaca near the border with Bolivia.
  • D. Yembana
    Yembana is a dialect of the Bulu language, a Bantu language spoken primarily in southern Cameroon.
  • E. Yawal
    Yawal is a town in the Indian state of Maharashtra, situated in the Jalgaon district and known for its agricultural surroundings and local markets.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a444b4c8190a5dd95460ac96cc7 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70d50b6148190a0cbc31d9937d59e completed May 3, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69f70e14389881908787a64ddead9707 completed May 3, 2026, 8:57 a.m.
Created at: April 9, 2026, 9:25 p.m.