Triple

T16284116
Position Surface form Disambiguated ID Type / Status
Subject Robert Hoffman E395344 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: [Robert Hoffman, familyName, Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoffman
Context triple: [Robert 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.