Triple

T15662982
Position Surface form Disambiguated ID Type / Status
Subject Antonie Siemens E376611 entity
Predicate relativeByMarriage P7844 FINISHED
Object Siemens family E895693 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: Siemens family | Statement: [Antonie Siemens, relativeByMarriage, Siemens family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens family
Context triple: [Antonie Siemens, relativeByMarriage, Siemens family]
  • A. Siemens family chosen
    The Siemens family is a prominent German industrial and entrepreneurial dynasty best known for founding and leading the global technology company Siemens.
  • B. Krupp family
    The Krupp family is a prominent German industrial dynasty historically known for its powerful steel and armaments empire centered in Essen.
  • C. Helmerich family
    The Helmerich family is a prominent philanthropic family known for its significant support of literature, education, and the arts, including endowing major literary honors.
  • D. Lindner family
    The Lindner family is a prominent American business dynasty known for its leadership in insurance, investments, and philanthropy, particularly in the Cincinnati area.
  • E. Delbrück family
    The Delbrück family is a notable German lineage known for producing several influential figures in science, politics, and academia.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.