Triple

T13233771
Position Surface form Disambiguated ID Type / Status
Subject Franz Huber E315089 entity
Predicate name P16 FINISHED
Object Franz Huber E315089 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 Huber | Statement: [Franz Huber, name, Franz Huber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz Huber
Context triple: [Franz Huber, name, Franz Huber]
  • A. Franz Huber chosen
    Franz Huber is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Huber.
  • B. Johann Baptist Weiss
    Johann Baptist Weiss was an 18th-century musician and teacher known primarily as an early instructor of the renowned Austrian composer and theorist Johann Georg Albrechtsberger.
  • C. Ferdinand Reyher
    Ferdinand Reyher was an American writer and screenwriter active in the early 20th century, known for his work in both literature and Hollywood cinema.
  • D. Friedrich Krafft
    Friedrich Krafft was a German chemist known for his work in organic chemistry and for the Krafft point concept related to the solubility of surfactants.
  • E. Jean-Baptiste Salzmann
    Jean-Baptiste Salzmann is a notable individual who bears the Salzmann surname, recognized as a distinguished representative of that family name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2dca2c81909cab1aa868ad575d completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.