Triple

T3905124
Position Surface form Disambiguated ID Type / Status
Subject Abram Hoffer E87187 entity
Predicate familyName P18 FINISHED
Object 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.
E397637 NE FINISHED

How this triple was built (4 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: Hoffer | Statement: [Abram Hoffer, familyName, Hoffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoffer
Context triple: [Abram Hoffer, familyName, Hoffer]
  • A. Hoffman
    Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
  • B. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • C. Leibowitz
    Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
  • D. Hoppe
    Hoppe is a German surname most notably associated with Hans-Hermann Hoppe, a libertarian economist and political philosopher.
  • E. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hoffer
Triple: [Abram Hoffer, familyName, Hoffer]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoffer
Target entity description: 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.
  • A. Hoffman
    Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
  • B. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • C. Leibowitz
    Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
  • D. Hoppe
    Hoppe is a German surname most notably associated with Hans-Hermann Hoppe, a libertarian economist and political philosopher.
  • E. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • F. None of above. chosen

Provenance (5 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed0fb9888190add847806555a14a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cace2b88190981e3516123a417d completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d9fd9388190bef2020b97b2fc80 completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e3325f08190a630644d0b6f7d76 completed March 14, 2026, 8:37 a.m.
Created at: March 9, 2026, 3:22 p.m.