Triple

T13186080
Position Surface form Disambiguated ID Type / Status
Subject Hager E313855 entity
Predicate hasNotableBearer P458 FINISHED
Object Asa Hager
Asa Hager is an individual notable enough to be recognized as a prominent bearer of the surname Hager.
E1106196 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: Asa Hager | Statement: [Hager, hasNotableBearer, Asa Hager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asa Hager
Context triple: [Hager, hasNotableBearer, Asa Hager]
  • A. Asa Biggs
    Asa Biggs was a 19th-century American politician from North Carolina who served as a U.S. Representative, U.S. Senator, and later a federal judge.
  • B. Asa Danforth Jr.
    Asa Danforth Jr. was an early American-born land developer and road builder active in Upper Canada in the late 18th and early 19th centuries.
  • C. Asa Hawks
    Asa Hawks is a blind street preacher and con man in Flannery O’Connor’s novel "Wise Blood," symbolizing religious hypocrisy and spiritual emptiness.
  • D. Hugo Barnstead
    Hugo Barnstead is a central character in the 1941 romantic comedy film "The Strawberry Blonde," portrayed as a brash, ambitious rival to the more easygoing protagonist.
  • E. John Swett
    John Swett was a prominent 19th-century American educator and reformer often regarded as the "father of the California public school system."
  • 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: Asa Hager
Triple: [Hager, hasNotableBearer, Asa Hager]
Generated description
Asa Hager is an individual notable enough to be recognized as a prominent bearer of the surname Hager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asa Hager
Target entity description: Asa Hager is an individual notable enough to be recognized as a prominent bearer of the surname Hager.
  • A. Asa Biggs
    Asa Biggs was a 19th-century American politician from North Carolina who served as a U.S. Representative, U.S. Senator, and later a federal judge.
  • B. Asa Danforth Jr.
    Asa Danforth Jr. was an early American-born land developer and road builder active in Upper Canada in the late 18th and early 19th centuries.
  • C. Asa Hawks
    Asa Hawks is a blind street preacher and con man in Flannery O’Connor’s novel "Wise Blood," symbolizing religious hypocrisy and spiritual emptiness.
  • D. Hugo Barnstead
    Hugo Barnstead is a central character in the 1941 romantic comedy film "The Strawberry Blonde," portrayed as a brash, ambitious rival to the more easygoing protagonist.
  • E. John Swett
    John Swett was a prominent 19th-century American educator and reformer often regarded as the "father of the California public school system."
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
NEDg Description generation batch_69fd8bd70488819083f40c38575f3071 completed May 8, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d4f2e848190a3c4c423c0ffed50 completed May 8, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:15 p.m.