Triple

T21492717
Position Surface form Disambiguated ID Type / Status
Subject Writing Excuses E530276 entity
Predicate hasGuestHost P10756 FINISHED
Object DongWon Song
DongWon Song is a literary agent and publishing professional known for his work in science fiction and fantasy, including appearances as a guest host on the writing podcast "Writing Excuses."
 E1523838 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: DongWon Song | Statement: [Writing Excuses, hasGuestHost, DongWon Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DongWon Song
Context triple: [Writing Excuses, hasGuestHost, DongWon Song]
  • A. Woo-sung Jung
    Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
  • B. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • C. Ho-seok Jung
    Ho-seok Jung is a notable individual recognized for achievements significant enough to be associated with the surname Jung.
  • D. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • E. Sung-kyu Jung
    Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • 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: DongWon Song
Triple: [Writing Excuses, hasGuestHost, DongWon Song]
Generated description
DongWon Song is a literary agent and publishing professional known for his work in science fiction and fantasy, including appearances as a guest host on the writing podcast "Writing Excuses."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DongWon Song
Target entity description: DongWon Song is a literary agent and publishing professional known for his work in science fiction and fantasy, including appearances as a guest host on the writing podcast "Writing Excuses."
  • A. Woo-sung Jung
    Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
  • B. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • C. Ho-seok Jung
    Ho-seok Jung is a notable individual recognized for achievements significant enough to be associated with the surname Jung.
  • D. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • E. Sung-kyu Jung
    Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea54fb608190a147cd8aa6d6d04b completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa5f8a99c8190a7eb33a6d2ff7ec8 completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa682b4988190a51af8601decc072 completed May 18, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa6e38d008190bf66e326e8c9e81d completed May 18, 2026, 5:42 a.m.
Created at: April 16, 2026, 6:23 p.m.