Triple

T16411671
Position Surface form Disambiguated ID Type / Status
Subject David Hoffman (legal scholar, 1784–1854) E398581 entity
Predicate name P16 FINISHED
Object David Hoffman E398581 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: David Hoffman | Statement: [David Hoffman (legal scholar, 1784–1854), name, David Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Hoffman
Context triple: [David Hoffman (legal scholar, 1784–1854), name, David Hoffman]
  • A. David Hoffman chosen
    David Hoffman is a common personal name shared by multiple notable individuals across fields such as law, politics, academia, and the arts.
  • B. Paul Hoffman
    Paul Hoffman is a common name shared by several notable individuals, including authors, journalists, and public figures across various fields.
  • C. Martin Hoffman
    Martin Hoffman is a personal name shared by multiple individuals across various fields, including academia, the arts, and public life.
  • D. Thomas Hoffman
    Thomas Hoffman is a relatively obscure individual whose name is shared with several people across different professions, making it difficult to attribute a single widely recognized identity to him.
  • E. Peter Hoffman
    Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecfd99c8190a4375a0f62aa50d1 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:09 a.m.