Triple

T35072290
Position Surface form Disambiguated ID Type / Status
Subject César Aira E1011910 entity
Predicate notableWork P4 FINISHED
Object The Literary Conference
The Literary Conference is a surreal, metafictional novella by Argentine writer César Aira that blends science fiction, comedy, and literary satire.
 E2125050 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: The Literary Conference | Statement: [César Aira, notableWork, The Literary Conference]
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: The Literary Conference
Triple: [César Aira, notableWork, The Literary Conference]
Generated description
The Literary Conference is a surreal, metafictional novella by Argentine writer César Aira that blends science fiction, comedy, and literary satire.

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_69f76dd193108190af2528186f25b72a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f786572fe08190adc9d179db1a051f completed May 3, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c646b83c819093212ae8495507c0 completed June 21, 2026, 11:08 a.m.
NEDg Description generation batch_6a37c6e970f48190b35c179e766c58cc completed June 21, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_6a37cad6f71c81908794928c0e20ab20 completed June 21, 2026, 11:28 a.m.
Created at: May 3, 2026, 4:01 p.m.