Triple

T692514
Position Surface form Disambiguated ID Type / Status
Subject Sheila Widnall E13824 entity
Predicate familyName P18 FINISHED
Object Widnall
Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
 E88433 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: Widnall | Statement: [Sheila Widnall, familyName, Widnall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Widnall
Context triple: [Sheila Widnall, familyName, Widnall]
  • A. Spruance
    Spruance is a surname most notably associated with U.S. Admiral Raymond A. Spruance, a key naval commander in the Pacific during World War II.
  • B. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • C. Fort Lewis
    Fort Lewis is a major U.S. Army installation in Washington State that serves as a key component of Joint Base Lewis–McChord and an important center for training and deploying military forces.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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: Widnall
Triple: [Sheila Widnall, familyName, Widnall]
Generated description
Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Widnall
Target entity description: Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
  • A. Spruance
    Spruance is a surname most notably associated with U.S. Admiral Raymond A. Spruance, a key naval commander in the Pacific during World War II.
  • B. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • C. Fort Lewis
    Fort Lewis is a major U.S. Army installation in Washington State that serves as a key component of Joint Base Lewis–McChord and an important center for training and deploying military forces.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0b05f2c8190876c73db15b489a2 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a53c068819089e66347da55710b completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64fa842b481909a5e6ee1c9f398c0 completed March 3, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_69a650b66fcc8190bf0ad91ead93f253 completed March 3, 2026, 3:08 a.m.
Created at: March 1, 2026, 7:36 p.m.