Triple

T35408146
Position Surface form Disambiguated ID Type / Status
Subject Jähn E1023425 entity
Predicate hasNotableBearer P458 FINISHED
Object Sigmund Jähn
Sigmund Jähn was a German cosmonaut and pilot who became the first German to fly in space in 1978 as part of the Soviet Interkosmos program.
E2140158 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: Sigmund Jähn | Statement: [Jähn, hasNotableBearer, Sigmund Jähn]
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: Sigmund Jähn
Triple: [Jähn, hasNotableBearer, Sigmund Jähn]
Generated description
Sigmund Jähn was a German cosmonaut and pilot who became the first German to fly in space in 1978 as part of the Soviet Interkosmos program.

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_69f76df54bac8190bd0d3b0eb35cda5f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7956423b481908041090133ac61de completed May 3, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836afd3b0819098091aeea9153b40 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a3837863b608190a771c0842757c2e8 completed June 21, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_6a383809199c8190b44dacedee6e39d8 completed June 21, 2026, 7:14 p.m.
Created at: May 3, 2026, 4:03 p.m.