Triple

T7604279
Position Surface form Disambiguated ID Type / Status
Subject Jang Kum-song E180060 entity
Predicate givenName P17 FINISHED
Object Kum-song
Kum-song is a Korean given name commonly used for both males and females.
E677405 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: Kum-song | Statement: [Jang Kum-song, givenName, Kum-song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kum-song
Context triple: [Jang Kum-song, givenName, Kum-song]
  • A. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • B. Sinseongbong
    Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
  • C. Junggumun
    Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
  • D. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • E. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • 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: Kum-song
Triple: [Jang Kum-song, givenName, Kum-song]
Generated description
Kum-song is a Korean given name commonly used for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kum-song
Target entity description: Kum-song is a Korean given name commonly used for both males and females.
  • A. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • B. Sinseongbong
    Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
  • C. Junggumun
    Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
  • D. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • E. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870858c648190acbbad9b5bb12ba4 completed March 29, 2026, 12:21 a.m.
NEDg Description generation batch_69c871a369708190a3d6f4c2b5017a21 completed March 29, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_69c87238848c819091d5c5ba874c210b completed March 29, 2026, 12:28 a.m.
Created at: March 27, 2026, 3:54 p.m.