Triple

T20383671
Position Surface form Disambiguated ID Type / Status
Subject Rags Ragland E497903 entity
Predicate givenName P17 FINISHED
Object John
John is the given first name of American character actor and comedian Rags Ragland, known for his burlesque and film roles in the 1930s and 1940s.
E498411 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: [Rags Ragland, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Rags Ragland, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • C. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • D. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • E. John
    John is the first name of American actor and musician John Stamos, best known for his role as Uncle Jesse on the television series "Full House."
  • 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: [Rags Ragland, givenName, John]
Generated description
John is the given first name of American character actor and comedian Rags Ragland, known for his burlesque and film roles in the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given first name of American character actor and comedian Rags Ragland, known for his burlesque and film roles in the 1930s and 1940s.
  • A. John chosen
    John is the given first name of American character actor and comedian Rags Ragland.
  • B. John
    John is the birth name of American comedian and actor Jackie Gleason, famed for his role in the classic television series "The Honeymooners."
  • C. John
    John is the given name of American character actor John McGiver, known for his distinctive, pompous persona in mid-20th-century film and television.
  • D. John
    John is the given first name of American actor Jackie Coogan, a former child star best known for his role as Uncle Fester in the 1960s TV series "The Addams Family."
  • E. John
    John is the given name of the renowned American stage and film actor John Barrymore, a major star of the early 20th century.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b2ceec819091ad5205ee9b2174 completed April 20, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08761704488190a4b832977d824839 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a08771f7edc8190b0c1dce8f5f6e145 completed May 16, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0877ac99408190a31ee21894770334 completed May 16, 2026, 1:57 p.m.
Created at: April 16, 2026, 11:27 a.m.