Triple

T13881465
Position Surface form Disambiguated ID Type / Status
Subject John Van Druten E333727 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the British playwright and director John Van Druten, known for works such as "I Am a Camera," which inspired the musical "Cabaret."
E1069118 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 Van Druten, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Van Druten, 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 Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • C. John
    John of Görlitz was a 14th-century German prince of the House of Luxembourg who held the title of Duke of Görlitz.
  • D. John
    John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
  • E. John
    John is the first name of Jack Phillips, the British wireless operator on the RMS Titanic who died during its sinking in 1912.
  • 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 Van Druten, givenName, John]
Generated description
John is the given name of the British playwright and director John Van Druten, known for works such as "I Am a Camera," which inspired the musical "Cabaret."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the British playwright and director John Van Druten, known for works such as "I Am a Camera," which inspired the musical "Cabaret."
  • A. John
    John is the given name of the renowned English actor and theatre director Sir John Gielgud, celebrated as one of the greatest Shakespearean performers of the 20th century.
  • B. John
    John is the given name of American playwright and screenwriter John Guare, known for works such as "Six Degrees of Separation."
  • C. John
    John is the given name of the English playwright, screenwriter, and actor John Osborne, a leading figure of the "Angry Young Men" movement in mid-20th-century British theatre.
  • D. John
    John is the given name of American playwright, screenwriter, and director John Patrick Shanley, known for works such as "Doubt" and "Moonstruck."
  • E. John
    John is the given name of the English novelist, playwright, and broadcaster J. B. Priestley, a prominent 20th-century literary figure.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be8566881908b8902e3cd567669 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70c41f081908b6af3f419d8468d completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7caf92b3c8190923f0b22e8ed7c2c completed May 3, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69f7cb846f788190a62a6dd181fa64ee completed May 3, 2026, 10:26 p.m.
Created at: April 9, 2026, 10:15 p.m.