Triple

T90675
Position Surface form Disambiguated ID Type / Status
Subject Richard Nixon E1821 entity
Predicate middleName P143 FINISHED
Object Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
 E23107 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: Milhous | Statement: [Richard Nixon, middleName, Milhous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milhous
Context triple: [Richard Nixon, middleName, Milhous]
  • A. Goodhue
    Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • E. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • 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: Milhous
Triple: [Richard Nixon, middleName, Milhous]
Generated description
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milhous
Target entity description: Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • A. Goodhue
    Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • E. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24f6c29888190890caa7872d63ac6 completed Feb. 28, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa794c808190acf50a7eb90a012a completed Feb. 28, 2026, 2:23 p.m.
NEDg Description generation batch_69a2fae7ddac81909c3c41a2965ce637 completed Feb. 28, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_69a2fb7569908190a054bb840007a5b7 completed Feb. 28, 2026, 2:28 p.m.
Created at: Feb. 28, 2026, 2:07 a.m.