Triple

T32946505
Position Surface form Disambiguated ID Type / Status
Subject Maximilian, Duke of Hohenberg E842816 entity
Predicate child P120 FINISHED
Object Franz, Duke of Hohenberg
Franz, Duke of Hohenberg was an Austrian nobleman and head of the Hohenberg family, descended from Archduke Franz Ferdinand of Austria through his morganatic line.
E2049021 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: Franz, Duke of Hohenberg | Statement: [Maximilian, Duke of Hohenberg, child, Franz, Duke of Hohenberg]
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: Franz, Duke of Hohenberg
Triple: [Maximilian, Duke of Hohenberg, child, Franz, Duke of Hohenberg]
Generated description
Franz, Duke of Hohenberg was an Austrian nobleman and head of the Hohenberg family, descended from Archduke Franz Ferdinand of Austria through his morganatic line.

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_69f3494a31f481909057136e49b4fe60 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d14056688190a07663ccfbbc4086 completed May 3, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576cb7af88190827ae7556508743a completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a35775669d481909b902b1206bac810 completed June 19, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_6a3577c128948190b5690c8ff15ecde1 completed June 19, 2026, 5:09 p.m.
Created at: May 1, 2026, 1:20 a.m.