Triple

T21717779
Position Surface form Disambiguated ID Type / Status
Subject Newton D. Baker E536076 entity
Predicate middleName P143 FINISHED
Object Diehl NE NERFINISHED

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: Diehl | Statement: [Newton D. Baker, middleName, Diehl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diehl
Context triple: [Newton D. Baker, middleName, Diehl]
  • A. Diehl chosen
    Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
  • B. Diehl BGT Defence
    Diehl BGT Defence is a German defense company specializing in advanced guided missile and air defense systems.
  • C. Krauss-Maffei Wegmann
    Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
  • D. Siemens-Schuckertwerke
    Siemens-Schuckertwerke was a major German electrical engineering and manufacturing company that formed part of the Siemens group and played a key role in industrial and urban development in early 20th-century Germany.
  • E. Haltmann Works Company
    Haltmann Works Company is a massive, technologically advanced corporate empire and the main antagonistic organization in the video game Kirby: Planet Robobot, known for mechanizing and exploiting entire worlds.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96babdc81908226ec043dbe7431 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.