Triple

T7541276
Position Surface form Disambiguated ID Type / Status
Subject Paranal Residencia E178279 entity
Predicate architect P184 FINISHED
Object Alexander von Branca E481495 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: Alexander von Branca | Statement: [Paranal Residencia, architect, Alexander von Branca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander von Branca
Context triple: [Paranal Residencia, architect, Alexander von Branca]
  • A. Alexander von Branca chosen
    Alexander von Branca was a German architect known for his modernist and often monumental public buildings, including major museum and cultural projects in Munich.
  • B. Fyodor Bruni
    Fyodor Bruni was a 19th-century Russian-Italian painter known for his large-scale historical and religious works that became prominent in major imperial commissions.
  • C. Charles Dagomer
    Charles Dagomer was an 18th-century French artist and teacher known for instructing painter Jean-Baptiste Huet.
  • D. Alexander Granach
    Alexander Granach was a German-Jewish stage and film actor known for his expressive character roles in Weimar cinema and early Hollywood films.
  • E. Bruno von François
    Bruno von François was a Prussian general noted for his leadership during the Franco-Prussian War, particularly in early battles such as Spicheren.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8750f80819088ddfb7a5580b5df completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.