Triple

T32635441
Position Surface form Disambiguated ID Type / Status
Subject Message of the East E834331 entity
Predicate associatedWith P37 FINISHED
Object West–Eastern literary exchange
West–Eastern literary exchange refers to the cross-cultural interaction, influence, and dialogue between Western and Eastern literary traditions, themes, and authors.
 E2013890 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: West–Eastern literary exchange | Statement: [Message of the East, associatedWith, West–Eastern literary exchange]
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: West–Eastern literary exchange
Triple: [Message of the East, associatedWith, West–Eastern literary exchange]
Generated description
West–Eastern literary exchange refers to the cross-cultural interaction, influence, and dialogue between Western and Eastern literary traditions, themes, and authors.

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_69f3492dc2308190a88c6e30a3f3f576 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c721d32481908556d24c2f96d6de completed May 3, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a348629eeb481909a8f2cf84ed1ac36 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a348702a3cc81909b4eeedc50d03061 completed June 19, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a3487bf3eb88190bc41cbcf4f7cc24a completed June 19, 2026, 12:05 a.m.
Created at: May 1, 2026, 1:07 a.m.