Triple

T10339101
Position Surface form Disambiguated ID Type / Status
Subject Trapper John McIntyre E243082 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the fictional character Trapper John McIntyre from the M*A*S*H franchise.
E859552 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: [Trapper John McIntyre, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Trapper John McIntyre, givenName, John]
  • A. John
    John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
  • B. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • C. John
    John is the given name of John Watson Foster, an American diplomat and U.S. Secretary of State in the late 19th century.
  • D. John
    John is the given first name of J. B. Fuqua, an American businessman, philanthropist, and political figure.
  • E. John
    John is the given name of Lord John Manners, a 19th-century British Conservative politician and member of the aristocratic Manners family.
  • 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: [Trapper John McIntyre, givenName, John]
Generated description
John is the given name of the fictional character Trapper John McIntyre from the M*A*S*H franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the fictional character Trapper John McIntyre from the M*A*S*H franchise.
  • A. John
    John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
  • B. John
    John is the given name of John Madden, the famed American football coach, broadcaster, and namesake of the Madden NFL video game series.
  • C. John
    John is an alternative given name used by the character Jake Chambers, a central figure in Stephen King’s The Dark Tower series.
  • D. John
    John is the first name of John Marston, the iconic outlaw protagonist from the Red Dead Redemption video game series.
  • E. John
    John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a470948190959f298dd6110bf3 completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79508427c81909db511e969bc9ddb completed April 9, 2026, 12:01 p.m.
NEDg Description generation batch_69d7982916b48190a50893a79ac522e9 completed April 9, 2026, 12:14 p.m.
NED2 Entity disambiguation (via description) batch_69d7991e01d88190bc460d984b796d64 completed April 9, 2026, 12:18 p.m.
Created at: April 6, 2026, 11:54 a.m.