Triple

T2752841
Position Surface form Disambiguated ID Type / Status
Subject 96-480 E61026 entity
Predicate namedAfter P63 FINISHED
Object Malcolm Wallop Wydler
Malcolm Wallop Wydler was an American Republican politician and long-serving U.S. Representative from New York.
 E445358 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: Malcolm Wallop Wydler | Statement: [96-480, namedAfter, Malcolm Wallop Wydler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malcolm Wallop Wydler
Context triple: [96-480, namedAfter, Malcolm Wallop Wydler]
  • A. Harold A. Wheeler
    Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
  • B. John W. Wydler
    John W. Wydler was an American politician who served as a Republican member of the U.S. House of Representatives from New York in the mid-20th century.
  • C. George P. Hunt
    George P. Hunt was an American politician who served as the first governor of the state of Arizona.
  • D. Alfred Beckley
    Alfred Beckley was a 19th-century American military officer, politician, and landowner best known for establishing the city that became Beckley, West Virginia.
  • E. John F. Seitz
    John F. Seitz was a prominent American cinematographer best known for his influential work in early Hollywood and on classic film noirs such as Double Indemnity and Sunset Boulevard.
  • 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: Malcolm Wallop Wydler
Triple: [96-480, namedAfter, Malcolm Wallop Wydler]
Generated description
Malcolm Wallop Wydler was an American Republican politician and long-serving U.S. Representative from New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malcolm Wallop Wydler
Target entity description: Malcolm Wallop Wydler was an American Republican politician and long-serving U.S. Representative from New York.
  • A. Harold A. Wheeler
    Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
  • B. John W. Wydler chosen
    John W. Wydler was an American politician who served as a Republican member of the U.S. House of Representatives from New York in the mid-20th century.
  • C. George P. Hunt
    George P. Hunt was an American politician who served as the first governor of the state of Arizona.
  • D. Alfred Beckley
    Alfred Beckley was a 19th-century American military officer, politician, and landowner best known for establishing the city that became Beckley, West Virginia.
  • E. John F. Seitz
    John F. Seitz was a prominent American cinematographer best known for his influential work in early Hollywood and on classic film noirs such as Double Indemnity and Sunset Boulevard.
  • F. None of above.

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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6ed9c08190824d1866e198ef80 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69be9c2aefc08190931de470b930ce34 completed March 21, 2026, 1:24 p.m.
NEDg Description generation batch_69be9dc80ccc8190a0212288ceb60e41 completed March 21, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69be9e2f7d20819097cafc8b31d5459c completed March 21, 2026, 1:33 p.m.
Created at: March 6, 2026, 9:56 p.m.