Triple

T2032828
Position Surface form Disambiguated ID Type / Status
Subject Mabel Gardiner Hubbard E44555 entity
Predicate familyName P18 FINISHED
Object Hubbard
Hubbard is a surname of English origin borne by various notable individuals across fields such as science, business, and the arts.
E229721 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: Hubbard | Statement: [Mabel Gardiner Hubbard, familyName, Hubbard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubbard
Context triple: [Mabel Gardiner Hubbard, familyName, Hubbard]
  • A. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • B. The Hub
    The Hub is a well-known nickname for Boston, Massachusetts, reflecting its historical role as a central cultural, intellectual, and political center in the United States.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • E. Tubbs
    Tubbs is the surname of Rallo Tubbs, a young animated character from the television series "The Cleveland Show."
  • 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: Hubbard
Triple: [Mabel Gardiner Hubbard, familyName, Hubbard]
Generated description
Hubbard is a surname of English origin borne by various notable individuals across fields such as science, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hubbard
Target entity description: Hubbard is a surname of English origin borne by various notable individuals across fields such as science, business, and the arts.
  • A. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • B. The Hub
    The Hub is a well-known nickname for Boston, Massachusetts, reflecting its historical role as a central cultural, intellectual, and political center in the United States.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • E. Tubbs
    Tubbs is the surname of Rallo Tubbs, a young animated character from the television series "The Cleveland Show."
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb93255248190bd47a54a7b3c7447 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fed963c8190ac205b46f93ad650 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae2092c3ac8190b2f1f3e9c980f40a completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae21c757c88190a151e01ee0825d85 completed March 9, 2026, 1:26 a.m.
Created at: March 4, 2026, 7:39 p.m.