Triple

T11049735
Position Surface form Disambiguated ID Type / Status
Subject Cooties E261213 entity
Predicate musicBy P1952 FINISHED
Object Kreng
Kreng is the stage name of Belgian composer Pepijn Caudron, known for his dark, atmospheric soundtracks and experimental electronic music.
 E901290 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: Kreng | Statement: [Cooties, musicBy, Kreng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kreng
Context triple: [Cooties, musicBy, Kreng]
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Mangseng
    Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
  • C. Kotch
    Kotch is a 1971 comedy-drama film directed by Jack Lemmon and starring Walter Matthau as an elderly man seeking independence and connection late in life.
  • D. Klakah
    Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
  • E. Kragle
    The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
  • 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: Kreng
Triple: [Cooties, musicBy, Kreng]
Generated description
Kreng is the stage name of Belgian composer Pepijn Caudron, known for his dark, atmospheric soundtracks and experimental electronic music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kreng
Target entity description: Kreng is the stage name of Belgian composer Pepijn Caudron, known for his dark, atmospheric soundtracks and experimental electronic music.
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Mangseng
    Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
  • C. Kotch
    Kotch is a 1971 comedy-drama film directed by Jack Lemmon and starring Walter Matthau as an elderly man seeking independence and connection late in life.
  • D. Klakah
    Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
  • E. Kragle
    The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa06bae08190a0db615a258ded29 completed April 18, 2026, 3:57 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b206c7a4819087eb06faa6e1af21 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.