Triple

T778320
Position Surface form Disambiguated ID Type / Status
Subject Rutherford B. Hayes E16439 entity
Predicate familyName P18 FINISHED
Object Hayes
Hayes is a common English surname borne by numerous notable figures, including the 19th U.S. president Rutherford B. Hayes.
 E48908 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: Hayes | Statement: [Rutherford B. Hayes, familyName, Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hayes
Context triple: [Rutherford B. Hayes, familyName, Hayes]
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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: Hayes
Triple: [Rutherford B. Hayes, familyName, Hayes]
Generated description
Hayes is a common English surname borne by numerous notable figures, including the 19th U.S. president Rutherford B. Hayes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hayes
Target entity description: Hayes is a common English surname borne by numerous notable figures, including the 19th U.S. president Rutherford B. Hayes.
  • A. Hayes chosen
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • F. None of above.

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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74f886081909c27b786e3adbe32 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3adf1d88190acec593f0aca1ec0 completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a5aeb480819081fc1bebc67f8341 completed March 4, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7a63d9ca88190b9389a80283f8356 completed March 4, 2026, 3:25 a.m.
Created at: March 1, 2026, 7:37 p.m.