Triple

T27313465
Position Surface form Disambiguated ID Type / Status
Subject Josepha Weber E689270 entity
Predicate spouse P13 FINISHED
Object Franz de Paula Hofer
Franz de Paula Hofer was an 18th-century Austrian musician known primarily for his marriage into the musically prominent Weber family.
 E2291026 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 de Paula Hofer | Statement: [Josepha Weber, spouse, Franz de Paula Hofer]
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 de Paula Hofer
Triple: [Josepha Weber, spouse, Franz de Paula Hofer]
Generated description
Franz de Paula Hofer was an 18th-century Austrian musician known primarily for his marriage into the musically prominent Weber family.

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_69ef355c53a08190a8a92e355a7ce115 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627b4daa48190a0a8d236e3d589dc completed May 2, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c1caf2b288190a07d2273dc5deb0d completed July 19, 2026, 12:39 a.m.
NEDg Description generation batch_6a5c1d1f5bd081908e65bb174280c1fa completed July 19, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a5c1d6fab948190b547d69ca7973429 completed July 19, 2026, 12:42 a.m.
Created at: April 27, 2026, 11:29 a.m.