Triple

T10301416
Position Surface form Disambiguated ID Type / Status
Subject E. Kidd Bogart E241637 entity
Predicate hasWrittenSongsFor P44022 FINISHED
Object MKTO
MKTO is an American pop-rap duo best known for their hit single "Classic" and their blend of catchy pop hooks with hip-hop influences.
 E856494 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: MKTO | Statement: [E. Kidd Bogart, hasWrittenSongsFor, MKTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MKTO
Context triple: [E. Kidd Bogart, hasWrittenSongsFor, MKTO]
  • A. MKT
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • B. MKG
    MKG is the three-letter IATA airport code for Muskegon County Airport in Muskegon, Michigan, USA.
  • C. ARKET
    ARKET is a modern, minimalist lifestyle brand offering clothing, accessories, and homeware under the H&M Group.
  • D. MART
    MART is a prominent modern and contemporary art museum in Rovereto, Italy, renowned for its extensive collections and striking contemporary architecture.
  • E. Marketo
    Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
  • 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: MKTO
Triple: [E. Kidd Bogart, hasWrittenSongsFor, MKTO]
Generated description
MKTO is an American pop-rap duo best known for their hit single "Classic" and their blend of catchy pop hooks with hip-hop influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MKTO
Target entity description: MKTO is an American pop-rap duo best known for their hit single "Classic" and their blend of catchy pop hooks with hip-hop influences.
  • A. MKT
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • B. MKG
    MKG is the three-letter IATA airport code for Muskegon County Airport in Muskegon, Michigan, USA.
  • C. ARKET
    ARKET is a modern, minimalist lifestyle brand offering clothing, accessories, and homeware under the H&M Group.
  • D. MART
    MART is a prominent modern and contemporary art museum in Rovereto, Italy, renowned for its extensive collections and striking contemporary architecture.
  • E. Marketo
    Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30716d8819085e25a78e6af3b9d completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d47049c81909b60058c36042f71 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:44 a.m.