Triple

T4089187
Position Surface form Disambiguated ID Type / Status
Subject Helen Keller E87663 entity
Predicate familyName P18 FINISHED
Object Keller
Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
 E412553 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: Keller | Statement: [Helen Keller, familyName, Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keller
Context triple: [Helen Keller, familyName, Keller]
  • A. Kelley
    Kelley is a surname most notably associated with Florence Kelley, a prominent American social and political reformer who fought for labor rights and child welfare in the late 19th and early 20th centuries.
  • B. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • C. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • D. Kleinburg
    Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
  • E. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • 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: Keller
Triple: [Helen Keller, familyName, Keller]
Generated description
Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keller
Target entity description: Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
  • A. Kelley
    Kelley is a surname most notably associated with Florence Kelley, a prominent American social and political reformer who fought for labor rights and child welfare in the late 19th and early 20th centuries.
  • B. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • C. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • D. Kleinburg
    Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
  • E. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefca9e9088190a97cb2ccb5d622f0 completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6651d48190915581eca783cf3b completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c4c41c88190b00ab8fc43686afb completed March 14, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69b56cc2ae948190a5e13992626dd547 completed March 14, 2026, 2:12 p.m.
Created at: March 9, 2026, 3:39 p.m.