Triple

T5757398
Position Surface form Disambiguated ID Type / Status
Subject Willis C. Hawley E127003 entity
Predicate familyName P18 FINISHED
Object Hawley
Hawley is an English-language surname borne by various notable individuals in politics, academia, and other fields.
 E545778 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: Hawley | Statement: [Willis C. Hawley, familyName, Hawley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hawley
Context triple: [Willis C. Hawley, familyName, Hawley]
  • A. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • B. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • C. Harlan
    Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
  • D. Burwell
    Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
  • E. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • 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: Hawley
Triple: [Willis C. Hawley, familyName, Hawley]
Generated description
Hawley is an English-language surname borne by various notable individuals in politics, academia, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hawley
Target entity description: Hawley is an English-language surname borne by various notable individuals in politics, academia, and other fields.
  • A. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • B. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • C. Harlan
    Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
  • D. Burwell
    Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
  • E. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029084e108190988f1b5f38254007 completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e47c1788190b5883df385475237 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08e5a7950819099cd9c9bd6c7a99a completed March 23, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69c08ed0c3ac8190a7093667bcd4fb0f completed March 23, 2026, 12:52 a.m.
Created at: March 22, 2026, 3:49 p.m.