Triple

T18307854
Position Surface form Disambiguated ID Type / Status
Subject Second Battle of Naktong Bulge E438535 entity
Predicate commander P1061 FINISHED
Object Pak Kyo Sam
Pak Kyo Sam was a North Korean military commander noted for his leadership role during the Korean War.
 E1317988 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: Pak Kyo Sam | Statement: [Second Battle of Naktong Bulge, commander, Pak Kyo Sam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pak Kyo Sam
Context triple: [Second Battle of Naktong Bulge, commander, Pak Kyo Sam]
  • A. Pil-dong
    Pil-dong is a neighborhood in central Seoul, South Korea, known for its mix of traditional sites, educational institutions, and urban residential areas.
  • B. Ko Taen
    Ko Taen is a small, tranquil island in southern Thailand known for its quiet beaches, coral reefs, and snorkeling spots near Ko Samui.
  • C. Lee Kwon Mu
    Lee Kwon Mu was a North Korean military commander who played a key leadership role during the early stages of the Korean War.
  • D. Yong Duk Jhun
    Yong Duk Jhun is a South Korean-born cinematographer and animator best known for his visual work on major DreamWorks animated films, including the Kung Fu Panda series.
  • E. Se Ri Pak
    Se Ri Pak is a South Korean professional golfer widely credited with popularizing women's golf in Korea and earning multiple major championships on the LPGA Tour.
  • 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: Pak Kyo Sam
Triple: [Second Battle of Naktong Bulge, commander, Pak Kyo Sam]
Generated description
Pak Kyo Sam was a North Korean military commander noted for his leadership role during the Korean War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pak Kyo Sam
Target entity description: Pak Kyo Sam was a North Korean military commander noted for his leadership role during the Korean War.
  • A. Pil-dong
    Pil-dong is a neighborhood in central Seoul, South Korea, known for its mix of traditional sites, educational institutions, and urban residential areas.
  • B. Ko Taen
    Ko Taen is a small, tranquil island in southern Thailand known for its quiet beaches, coral reefs, and snorkeling spots near Ko Samui.
  • C. Lee Kwon Mu
    Lee Kwon Mu was a North Korean military commander who played a key leadership role during the early stages of the Korean War.
  • D. Yong Duk Jhun
    Yong Duk Jhun is a South Korean-born cinematographer and animator best known for his visual work on major DreamWorks animated films, including the Kung Fu Panda series.
  • E. Se Ri Pak
    Se Ri Pak is a South Korean professional golfer widely credited with popularizing women's golf in Korea and earning multiple major championships on the LPGA Tour.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4bcc760819082f91ea8670a1f48 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c592f7d0819082d600901da2c2f6 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 10, 2026, 10:35 a.m.