Triple

T11604102
Position Surface form Disambiguated ID Type / Status
Subject Josias Philip Hoffman E275208 entity
Predicate familyName P18 FINISHED
Object Hoffman E85402 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: Hoffman | Statement: [Josias Philip Hoffman, familyName, Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoffman
Context triple: [Josias Philip Hoffman, familyName, Hoffman]
  • A. Hoffman chosen
    Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
  • B. Hofmann
    Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
  • C. Hoffmann
    Hoffmann is a common German surname borne by numerous notable figures in fields such as science, literature, music, and politics.
  • D. Hoffer
    Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
  • E. William Hoffman
    William Hoffman is a relatively common personal name shared by multiple notable individuals across fields such as literature, politics, and the arts.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a8022800819096d7a87ac8c1c751 completed April 22, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:38 p.m.