Triple

T308249
Position Surface form Disambiguated ID Type / Status
Subject Martin Gardner E6349 entity
Predicate familyName P18 FINISHED
Object Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
 E39619 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: Gardner | Statement: [Martin Gardner, familyName, Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardner
Context triple: [Martin Gardner, familyName, Gardner]
  • A. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • B. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • C. Horton
    Horton is the middle name of the influential British mathematician John H. Conway, renowned for his work in group theory, knot theory, and recreational mathematics.
  • D. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • E. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • 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: Gardner
Triple: [Martin Gardner, familyName, Gardner]
Generated description
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardner
Target entity description: Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • A. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • B. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • C. Horton
    Horton is the middle name of the influential British mathematician John H. Conway, renowned for his work in group theory, knot theory, and recreational mathematics.
  • D. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • E. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea3289608190a36c20a47761c6e4 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b4744d188190a38831b251ca4901 completed March 1, 2026, 3:37 a.m.
NEDg Description generation batch_69a3b544d6b081908b11d83449f40e67 completed March 1, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3b5b7c9a48190afea4c39ab702fb9 completed March 1, 2026, 3:42 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.