Triple

T10201745
Position Surface form Disambiguated ID Type / Status
Subject John Kennex E238898 entity
Predicate givenName P17 FINISHED
Object John
John is a fictional police detective and main character from the science fiction TV series "Almost Human."
E847791 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 Kennex, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Kennex, 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: [John Kennex, givenName, John]
Generated description
John is a fictional police detective and main character from the science fiction TV series "Almost Human."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a fictional police detective and main character from the science fiction TV series "Almost Human."
  • 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 an alternative given name used by the character Jake Chambers, a central figure in Stephen King’s The Dark Tower series.
  • C. John
    John is the given name of the late English actor John Thaw, best known for his role as Inspector Morse in the British television series of the same name.
  • D. John
    John is the given name of English actor and musician John Simm, known for roles in series such as "Life on Mars" and "Doctor Who."
  • E. John
    John is the first name of John Marston, the iconic outlaw protagonist from the Red Dead Redemption video game 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3174109988190b703bb5b7c89c5c2 completed April 6, 2026, 2:15 a.m.
NEDg Description generation batch_69d31b67a62c81909ce3f5667e71516c completed April 6, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69d31f31c95881909cbf8f7154718447 completed April 6, 2026, 2:49 a.m.
Created at: March 30, 2026, 9:14 p.m.