Triple

T12838593
Position Surface form Disambiguated ID Type / Status
Subject Joseph A. Biedenharn E306983 entity
Predicate hasChild P369 FINISHED
Object Malcolm Biedenharn E1004142 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: Malcolm Biedenharn | Statement: [Joseph A. Biedenharn, hasChild, Malcolm Biedenharn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Biedenharn
Context triple: [Joseph A. Biedenharn, hasChild, Malcolm Biedenharn]
  • A. Malcolm Biedenharn chosen
    Malcolm Biedenharn was a member of the prominent Biedenharn family associated with early Coca-Cola bottling and regional business enterprises in the United States.
  • B. Joshua Braff
    Joshua Braff is an American novelist known for works such as "The Unthinkable Thoughts of Jacob Green" and "Peep Show," and is the brother of actor and filmmaker Zach Braff.
  • C. Evan Whitesell
    Evan Whitesell is one of the children of American media personality and helicopter pilot Lauren Sánchez.
  • D. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • E. Matthew Garber
    Matthew Garber was a British child actor best known for playing Michael Banks in Disney’s classic film "Mary Poppins" (1964).
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9dc1e48190993430956e0fcfdc completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:35 p.m.