Triple

T1167224
Position Surface form Disambiguated ID Type / Status
Subject Harry Hooper E24825 entity
Predicate familyName P18 FINISHED
Object Hooper
Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
E133576 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: Hooper | Statement: [Harry Hooper, familyName, Hooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hooper
Context triple: [Harry Hooper, familyName, Hooper]
  • A. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • B. Harrington
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • C. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • D. Wellfleet
    Wellfleet is a coastal town on outer Cape Cod in Massachusetts known for its oysters, beaches, and protected seashore.
  • 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: Hooper
Triple: [Harry Hooper, familyName, Hooper]
Generated description
Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hooper
Target entity description: Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
  • A. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • B. Harrington
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • C. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • D. Wellfleet
    Wellfleet is a coastal town on outer Cape Cod in Massachusetts known for its oysters, beaches, and protected seashore.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccd75048190b8ce88237c1a748b completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668562788190ac5f8d081a46b2ee completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac67a07f28819096fcd7b767e07a63 completed March 7, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ac6826ef4c81909fc077bfba22b16f completed March 7, 2026, 6:02 p.m.
Created at: March 1, 2026, 7:45 p.m.