Triple

T13333945
Position Surface form Disambiguated ID Type / Status
Subject Sale Johnson E317640 entity
Predicate hasFamilyName P18 FINISHED
Object Johnson
Johnson is a common English surname borne by numerous notable individuals across politics, entertainment, sports, and other fields.
E33363 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: Johnson | Statement: [Sale Johnson, hasFamilyName, Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnson
Context triple: [Sale Johnson, hasFamilyName, Johnson]
  • A. John
    John is the given name of Sir John Copley, a titled individual likely known for his status and contributions within British society.
  • B. John
    John is the birth name of American actor, singer, and dancer Jack Haley, best known for playing the Tin Man in the classic film "The Wizard of Oz."
  • C. John
    John is the given name of John Gill Shorter, who served as the 17th Governor of Alabama during the American Civil War.
  • D. John
    John is the given name of Welsh actor John Rhys-Davies, best known for his roles in the Indiana Jones and The Lord of the Rings film series.
  • E. John
    John is the given name of Colonel John Barnwell, an early 18th-century colonial military leader from South Carolina known for his role in conflicts with Native American tribes.
  • 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: Johnson
Triple: [Sale Johnson, hasFamilyName, Johnson]
Generated description
Johnson is a common English surname borne by numerous notable individuals across politics, entertainment, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johnson
Target entity description: Johnson is a common English surname borne by numerous notable individuals across politics, entertainment, sports, and other fields.
  • A. Johnson chosen
    Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • B. John
    John is the formal first name of Johnny Most, the famed American sports broadcaster known for his passionate radio commentary of Boston Celtics basketball games.
  • C. John
    John L. Hennessy is an American computer scientist and academic leader best known as a pioneer of RISC architecture and as the former president of Stanford University.
  • D. John
    John Parke Custis was the son of Martha Washington and stepson of George Washington, known as a Virginia planter and member of the colonial gentry.
  • E. John
    John Lasseter is an American animator, director, and producer best known for his pioneering work at Pixar and his role in revolutionizing computer-animated films.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8322ac8190a9830d9ca92f455f completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75f4352d48190ab57ab8ee57dba13 completed May 3, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f75f9fced081909962a881e469d3c4 completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:30 p.m.