Triple

T7656951
Position Surface form Disambiguated ID Type / Status
Subject John Ottman E173407 entity
Predicate givenName P17 FINISHED
Object John
John is the first name of John Ottman, an American film editor and composer known for his work on major Hollywood movies.
E679932 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 Ottman, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Ottman, givenName, John]
  • A. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • B. 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).
  • C. 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."
  • D. John
    John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
  • E. John
    John is the given first name of the American blues-rock guitarist and singer Johnny Winter.
  • 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 Ottman, givenName, John]
Generated description
John is the first name of John Ottman, an American film editor and composer known for his work on major Hollywood movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the first name of John Ottman, an American film editor and composer known for his work on major Hollywood 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 screenwriter and director John Milius, known for his work on films like "Apocalypse Now" and "Conan the Barbarian."
  • C. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • D. John
    John is the birth name of American actor and filmmaker Jack Nicholson, one of cinema’s most acclaimed and iconic performers.
  • E. John
    John is the first name of American actor and producer Scoot McNairy, known for his roles in films like "Argo" and the series "Halt and Catch Fire."
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ac251308190a09814cc469d80fd completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89cfe02a881909134ea8643049433 completed March 29, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69c89d842b208190b2a3fc6dc16ebf4a completed March 29, 2026, 3:33 a.m.
Created at: March 27, 2026, 3:59 p.m.