Triple

T32287496
Position Surface form Disambiguated ID Type / Status
Subject Jaromil Jireš E824875 entity
Predicate basedOn P98 FINISHED
Object Milan Kundera's novel "The Joke"
Milan Kundera's novel "The Joke" is a satirical and politically charged work that explores the personal and societal consequences of a trivial remark in communist Czechoslovakia.
 E1999853 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: Milan Kundera's novel "The Joke" | Statement: [Jaromil Jireš, basedOn, Milan Kundera's novel "The Joke"]
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: Milan Kundera's novel "The Joke"
Triple: [Jaromil Jireš, basedOn, Milan Kundera's novel "The Joke"]
Generated description
Milan Kundera's novel "The Joke" is a satirical and politically charged work that explores the personal and societal consequences of a trivial remark in communist Czechoslovakia.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd311adc8190839fa2f9bb2e727d completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46ee5f34819084ac09df6b56b1b3 completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f6f4175e88190b0ed10efdeb386b3 completed June 15, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2f6fd64678819081fba723a6d246e0 completed June 15, 2026, 3:21 a.m.
Created at: May 1, 2026, 12:44 a.m.