Triple

T21743488
Position Surface form Disambiguated ID Type / Status
Subject John Sayles E536724 entity
Predicate givenName P17 FINISHED
Object John
John is the first name of American independent filmmaker, screenwriter, and novelist John Sayles, known for his character-driven, socially conscious movies.
E1500060 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 Sayles, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Sayles, givenName, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • 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 Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the given name of John George Graves, a notable British mail-order entrepreneur and philanthropist from Sheffield.
  • 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 Sayles, givenName, John]
Generated description
John is the first name of American independent filmmaker, screenwriter, and novelist John Sayles, known for his character-driven, socially conscious movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the first name of American independent filmmaker, screenwriter, and novelist John Sayles, known for his character-driven, socially conscious movies.
  • A. John
    John is the first name of American filmmaker John Lee Hancock, known for directing and writing several popular Hollywood films.
  • B. John
    John is the given name of American filmmaker John Hughes, known for his influential 1980s teen comedies and coming-of-age films.
  • C. John
    John is the given name of American screenwriter and director John Milius, known for his work on films like "Apocalypse Now" and "Conan the Barbarian."
  • D. John
    John is the given name of American screenwriter, director, and novelist John Ridley, known for works such as "12 Years a Slave."
  • E. John
    John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ec64be48190b24e495a92261cb6 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a30b9aacc81909cf21733592cd462 completed May 17, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0a31892d108190923bdd02190bef08 completed May 17, 2026, 9:22 p.m.
Created at: April 16, 2026, 6:49 p.m.