Triple

T10848156
Position Surface form Disambiguated ID Type / Status
Subject MNEK E256069 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object KDA
KDA is a British electronic music production project best known for its club-ready house tracks and high-profile collaborations with pop and dance artists.
E889738 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: KDA | Statement: [MNEK, hasCollaboratedWith, KDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDA
Context triple: [MNEK, hasCollaboratedWith, KDA]
  • A. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • B. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • C. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • D. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • E. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • 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: KDA
Triple: [MNEK, hasCollaboratedWith, KDA]
Generated description
KDA is a British electronic music production project best known for its club-ready house tracks and high-profile collaborations with pop and dance artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KDA
Target entity description: KDA is a British electronic music production project best known for its club-ready house tracks and high-profile collaborations with pop and dance artists.
  • A. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • B. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • C. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. DK
    DK is an abbreviation for Danity Kane, an American girl group formed on the MTV reality show "Making the Band."
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69dec255abb08190bf93573c41aa35e9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec7c48c3c81909365b901830f0906 completed April 14, 2026, 11:03 p.m.
Created at: April 8, 2026, 9:20 p.m.