Triple

T22837457
Position Surface form Disambiguated ID Type / Status
Subject The Age of Shadows E565984 entity
Predicate mainCharacter P1183 FINISHED
Object Lee Jung-chool
Lee Jung-chool is the conflicted Korean police captain and central protagonist of the espionage thriller film "The Age of Shadows," torn between serving the Japanese colonial authorities and aiding the Korean resistance.
E2133325 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: Lee Jung-chool | Statement: [The Age of Shadows, mainCharacter, Lee Jung-chool]
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: Lee Jung-chool
Triple: [The Age of Shadows, mainCharacter, Lee Jung-chool]
Generated description
Lee Jung-chool is the conflicted Korean police captain and central protagonist of the espionage thriller film "The Age of Shadows," torn between serving the Japanese colonial authorities and aiding the Korean resistance.

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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e303cec81909c5c118dc8c93354 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a380f7f9ebc8190a856e9b3052a7108 completed June 21, 2026, 4:21 p.m.
NEDg Description generation batch_6a38107dc6e481908b57199adbcc20a6 completed June 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a3811e5b0d88190bc0f5cebe83b3768 completed June 21, 2026, 4:31 p.m.
Created at: April 17, 2026, 3:35 p.m.