Triple

T14196628
Position Surface form Disambiguated ID Type / Status
Subject John Basilone E351853 entity
Predicate givenName P17 FINISHED
Object John
John Basilone was a highly decorated United States Marine Corps gunnery sergeant and Medal of Honor recipient renowned for his heroism during World War II.
E1088788 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: John | Statement: [John Basilone, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Basilone, givenName, John]
  • A. John
    John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • E. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • 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: John
Triple: [John Basilone, givenName, John]
Generated description
John Basilone was a highly decorated United States Marine Corps gunnery sergeant and Medal of Honor recipient renowned for his heroism during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Basilone was a highly decorated United States Marine Corps gunnery sergeant and Medal of Honor recipient renowned for his heroism during World War II.
  • A. John
    John W. "Iron Mike" O'Daniel was a highly decorated U.S. Army lieutenant general known for his leadership in World War II and the Korean War.
  • B. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • C. John
    John is the given name of John Hersey, the American writer and journalist renowned for his groundbreaking reportage on the aftermath of the Hiroshima bombing.
  • D. John
    John is the given name of John Hays Hammond Jr., an American inventor known for his pioneering work in radio control and naval weaponry.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324b86748190b3e0a39383969cc7 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd331562308190a0a2dfcc4a0d26a0 completed May 8, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd338f13dc8190b264534ed9a78cb5 completed May 8, 2026, 12:51 a.m.
Created at: April 10, 2026, 1:04 a.m.