Triple

T12296383
Position Surface form Disambiguated ID Type / Status
Subject Harry Robbins Haldeman E293096 entity
Predicate familyName P18 FINISHED
Object Haldeman E55768 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: Haldeman | Statement: [Harry Robbins Haldeman, familyName, Haldeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haldeman
Context triple: [Harry Robbins Haldeman, familyName, Haldeman]
  • A. Haldeman
    Haldeman is the maiden surname of model and dietitian Maye Musk, mother of entrepreneur Elon Musk.
  • B. Haldeman chosen
    Haldeman is a surname most notably associated with H. R. Haldeman, the White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
  • C. Gay Haldeman
    Gay Haldeman is an American writer, editor, and teacher best known for her long partnership and collaborations with science fiction author Joe Haldeman.
  • D. Samuel Stehman Haldeman
    Samuel Stehman Haldeman was a 19th-century American naturalist, philologist, and academic known for his influential work in linguistics and the natural sciences.
  • E. Joe Haldeman
    Joe Haldeman is an American science fiction author best known for his award-winning novel "The Forever War," which explores the impacts of war and relativistic time dilation.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed903808190b7ed90e0db3d7586 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555c73208190a8846a5db1a6802e completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:52 p.m.