Triple

T32623233
Position Surface form Disambiguated ID Type / Status
Subject Bremen transatlantic flight E833985 entity
Predicate navigator P10507 FINISHED
Object Ehrenfried von Hünefeld
Ehrenfried von Hünefeld was a German aviation pioneer best known for co-organizing and participating in the first east–west non-stop transatlantic flight in 1928.
 E2064417 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: Ehrenfried von Hünefeld | Statement: [Bremen transatlantic flight, navigator, Ehrenfried von Hünefeld]
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: Ehrenfried von Hünefeld
Triple: [Bremen transatlantic flight, navigator, Ehrenfried von Hünefeld]
Generated description
Ehrenfried von Hünefeld was a German aviation pioneer best known for co-organizing and participating in the first east–west non-stop transatlantic flight in 1928.

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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c6f0a8e08190a7d8f6e7c77b59bd completed May 3, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a365c53000481908785a857a852bf43 completed June 20, 2026, 9:24 a.m.
NEDg Description generation batch_6a365d415b94819095be28ce74f2e717 completed June 20, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a365db10b648190a22055323a8393f3 completed June 20, 2026, 9:30 a.m.
Created at: May 1, 2026, 1:06 a.m.