Triple

T29560876
Position Surface form Disambiguated ID Type / Status
Subject The Orphan Master's Son E750034 entity
Predicate protagonist P268 FINISHED
Object Pak Jun Do
Pak Jun Do is the central character in Adam Johnson’s novel "The Orphan Master’s Son," a North Korean man whose life of shifting identities reflects the brutality and absurdity of the regime.
E2289519 NE FINISHED

How this triple was built (2 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 Jun Do | Statement: [The Orphan Master's Son, protagonist, Pak Jun Do]
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 Jun Do
Triple: [The Orphan Master's Son, protagonist, Pak Jun Do]
Generated description
Pak Jun Do is the central character in Adam Johnson’s novel "The Orphan Master’s Son," a North Korean man whose life of shifting identities reflects the brutality and absurdity of the regime.

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_69f0bd4919e48190942b2a13d5b97d03 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66d1ccf448190bf7c453e94a1fe17 completed May 2, 2026, 9:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b4796e890819085685b83eaaec463 completed July 18, 2026, 9:29 a.m.
NEDg Description generation batch_6a5b482c0d808190825cf711cea5979e completed July 18, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a5b48c3cca08190b0d37c5d144c3a3f completed July 18, 2026, 9:34 a.m.
Created at: April 28, 2026, 5:19 p.m.