Triple

T11166666
Position Surface form Disambiguated ID Type / Status
Subject Amala E264175 entity
Predicate producer P490 FINISHED
Object Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
E915873 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: Koshun | Statement: [Amala, producer, Koshun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koshun
Context triple: [Amala, producer, Koshun]
  • A. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • B. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • C. Kosh
    Kosh is a British album cover designer best known for creating iconic rock artwork, including covers for artists like The Beatles and The Eagles.
  • D. Yakouren
    Yakouren is a small town in northern Algeria’s Kabylie region, known for its forested mountain landscapes and Berber (Amazigh) cultural heritage.
  • E. Kiname
    "Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
  • 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: Koshun
Triple: [Amala, producer, Koshun]
Generated description
Koshun is a music producer known for working on projects associated with the artist Amala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koshun
Target entity description: Koshun is a music producer known for working on projects associated with the artist Amala.
  • A. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • B. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • C. Kosh
    Kosh is a British album cover designer best known for creating iconic rock artwork, including covers for artists like The Beatles and The Eagles.
  • D. Yakouren
    Yakouren is a small town in northern Algeria’s Kabylie region, known for its forested mountain landscapes and Berber (Amazigh) cultural heritage.
  • E. Kiname
    "Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3b0d9d481909c0ed532204e7ffa completed April 19, 2026, 3:24 p.m.
NEDg Description generation batch_69e4f9596e1081908e7b319f77453438 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff4645948190a2bfcc3a4efd8e2a completed April 19, 2026, 4:13 p.m.
Created at: April 8, 2026, 9:29 p.m.