Triple

T7791757
Position Surface form Disambiguated ID Type / Status
Subject Jack Warden E180195 entity
Predicate givenName P17 FINISHED
Object John
John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
E693864 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: [Jack Warden, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Jack Warden, givenName, John]
  • A. John
    John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
  • B. John
    John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
  • C. John
    John is the given first name of American character actor and comedian Rags Ragland.
  • D. 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.
  • E. John
    John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
  • 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: [Jack Warden, givenName, John]
Generated description
John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • A. John
    John is the birth name of American actor and filmmaker Jack Nicholson, one of cinema’s most acclaimed and iconic performers.
  • B. John
    John is the birth name of American actor and director Jackie Cooper, a prominent child star of the early 20th century.
  • C. John
    John is the birth name of American actor Jack Lemmon, a celebrated star of classic films such as "Some Like It Hot" and "The Apartment."
  • D. John
    John is the given name of the renowned American stage and film actor John Barrymore, a major star of the early 20th century.
  • E. John
    John is the given name of American actor John Hodiak, known for his roles in mid-20th-century Hollywood films.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae9375dcc8190a6cb696c02aeceb7 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
NEDg Description generation batch_69cb1636b0d48190a57c2d3a7b3b41ed completed March 31, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a29d2988190bb64aada0d2ef463 completed March 31, 2026, 12:49 a.m.
Created at: March 30, 2026, 4:30 p.m.