Triple

T14190805
Position Surface form Disambiguated ID Type / Status
Subject Crime Pays E351707 entity
Predicate producer P490 FINISHED
Object Skitzo
Skitzo is a music producer best known for working on the track "Crime Pays."
 E1086451 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: Skitzo | Statement: [Crime Pays, producer, Skitzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skitzo
Context triple: [Crime Pays, producer, Skitzo]
  • A. Skean
    Skean is the NATO reporting name for the Soviet R-14 (SS-5) medium-range ballistic missile developed during the Cold War.
  • B. Skirgaila
    Skirgaila was a 14th-century Lithuanian prince and statesman, a son of Grand Duke Algirdas who served as regent of the Grand Duchy of Lithuania and ruler of several of its key territories.
  • C. Schaal
    Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
  • D. Sikrai
    Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
  • E. Skeletun
    Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
  • 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: Skitzo
Triple: [Crime Pays, producer, Skitzo]
Generated description
Skitzo is a music producer best known for working on the track "Crime Pays."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skitzo
Target entity description: Skitzo is a music producer best known for working on the track "Crime Pays."
  • A. Skean
    Skean is the NATO reporting name for the Soviet R-14 (SS-5) medium-range ballistic missile developed during the Cold War.
  • B. Skirgaila
    Skirgaila was a 14th-century Lithuanian prince and statesman, a son of Grand Duke Algirdas who served as regent of the Grand Duchy of Lithuania and ruler of several of its key territories.
  • C. Schaal
    Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
  • D. Sikrai
    Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
  • E. Skeletun
    Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1946eb68819096adf3c16a39818d completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1eed1008819088635be43fbb1439 completed May 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd1f7c5d208190bab5d57e931fd082 completed May 7, 2026, 11:25 p.m.
Created at: April 10, 2026, 1:04 a.m.