Triple

T14123006
Position Surface form Disambiguated ID Type / Status
Subject Christiansborg Palace Chapel E339948 entity
Predicate architect P184 FINISHED
Object C.F. Hansen E708574 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: C.F. Hansen | Statement: [Christiansborg Palace Chapel, architect, C.F. Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C.F. Hansen
Context triple: [Christiansborg Palace Chapel, architect, C.F. Hansen]
  • A. Hugo Häring
    Hugo Häring was a German architect associated with the organic architecture movement, known for his innovative, function-driven designs in the early 20th century.
  • B. Christian Frederik Hansen chosen
    Christian Frederik Hansen was a prominent Danish neoclassical architect known for shaping much of Copenhagen’s early 19th-century cityscape.
  • C. J. W. Sauer
    J. W. Sauer was a prominent South African politician and statesman closely associated with Afrikaner nationalism and early 20th-century Cape politics.
  • D. Karl Stromberg
    Karl Stromberg is the main villain and megalomaniacal shipping magnate in the James Bond film "The Spy Who Loved Me," obsessed with creating an underwater civilization.
  • E. Friedrich Neelsen
    Friedrich Neelsen was a German pathologist best known for co-developing the Ziehl–Neelsen staining technique used to detect acid-fast bacteria such as Mycobacterium tuberculosis.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6095548881908a9e66adccca92d2 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf07feb48190b7519204b4f789b4 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.