Triple

T5061660
Position Surface form Disambiguated ID Type / Status
Subject Daniel Coit Gilman E114035 entity
Predicate familyName P18 FINISHED
Object Gilman
Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
 E490910 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: Gilman | Statement: [Daniel Coit Gilman, familyName, Gilman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gilman
Context triple: [Daniel Coit Gilman, familyName, Gilman]
  • A. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • B. Melvil
    Melvil is the given name of Melvil Dewey, the American librarian and educator best known for creating the Dewey Decimal Classification system.
  • C. Hollingworth
    Hollingworth is a village in Tameside, Greater Manchester, England, situated near the Longdendale valley.
  • D. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • E. Wells Root
    Wells Root was an American screenwriter known for adapting popular novels and crafting screenplays for mid-20th-century Hollywood films.
  • 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: Gilman
Triple: [Daniel Coit Gilman, familyName, Gilman]
Generated description
Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gilman
Target entity description: Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
  • A. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • B. Melvil
    Melvil is the given name of Melvil Dewey, the American librarian and educator best known for creating the Dewey Decimal Classification system.
  • C. Hollingworth
    Hollingworth is a village in Tameside, Greater Manchester, England, situated near the Longdendale valley.
  • D. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • E. Wells Root
    Wells Root was an American screenwriter known for adapting popular novels and crafting screenplays for mid-20th-century Hollywood films.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74740ae08190930f1fd57187334e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49566548190bc6328996789ad9f completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea575fa448190b64b6d6305a8d5a6 completed March 21, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69bea60244c88190850ac256e290c190 completed March 21, 2026, 2:06 p.m.
Created at: March 20, 2026, 1:38 p.m.