Triple

T25122612
Position Surface form Disambiguated ID Type / Status
Subject The Star Diaries E629305 entity
Predicate containsStory P6847 FINISHED
Object The Twenty-First Voyage
The Twenty-First Voyage is a satirical science fiction short story by Stanisław Lem featuring the cosmic traveler Ijon Tichy on one of his absurd, philosophical adventures.
 E1666798 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 Twenty-First Voyage | Statement: [The Star Diaries, containsStory, The Twenty-First Voyage]
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 Twenty-First Voyage
Triple: [The Star Diaries, containsStory, The Twenty-First Voyage]
Generated description
The Twenty-First Voyage is a satirical science fiction short story by Stanisław Lem featuring the cosmic traveler Ijon Tichy on one of his absurd, philosophical adventures.

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_69e2ff3288048190bd82c3b7f7bd0e62 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465cd44188190827d138b292a411a completed May 1, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cf8642081909c04bc961d12f5a1 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e52d9fc8190b22dd25b9cec720b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105f5aa33c819098ce8cc50b09ee62 completed May 22, 2026, 1:51 p.m.
Created at: April 18, 2026, 6:28 a.m.