Triple

T4296369
Position Surface form Disambiguated ID Type / Status
Subject Theodore Norman Howard-Gabel E99722 entity
Predicate familyName P18 FINISHED
Object Howard-Gabel
Howard-Gabel is a surname associated with individuals such as Theodore Norman Howard-Gabel.
E429571 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: Howard-Gabel | Statement: [Theodore Norman Howard-Gabel, familyName, Howard-Gabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard-Gabel
Context triple: [Theodore Norman Howard-Gabel, familyName, Howard-Gabel]
  • A. Gabbs
    Gabbs is a small, remote town in central Nevada known historically for its mining activities and desert surroundings.
  • B. Keyserling
    Keyserling is a surname most notably associated with Leon H. Keyserling, an influential American economist and former chairman of the U.S. Council of Economic Advisers.
  • C. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • D. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • E. 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.
  • 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: Howard-Gabel
Triple: [Theodore Norman Howard-Gabel, familyName, Howard-Gabel]
Generated description
Howard-Gabel is a surname associated with individuals such as Theodore Norman Howard-Gabel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard-Gabel
Target entity description: Howard-Gabel is a surname associated with individuals such as Theodore Norman Howard-Gabel.
  • A. Gabbs
    Gabbs is a small, remote town in central Nevada known historically for its mining activities and desert surroundings.
  • B. Keyserling
    Keyserling is a surname most notably associated with Leon H. Keyserling, an influential American economist and former chairman of the U.S. Council of Economic Advisers.
  • C. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • D. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • E. 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.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509aebd48190af38f2e37f07869a completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7439b3481908d2554f7b86002aa completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c95ac9188190bded2c31e969b63b completed March 14, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5c9dc6ca4819098d00e6c03edf56a completed March 14, 2026, 8:49 p.m.
Created at: March 12, 2026, 11:08 p.m.