Triple

T11377096
Position Surface form Disambiguated ID Type / Status
Subject John Phillip Law E269497 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
E922170 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 Phillip Law, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Phillip Law, givenName, John]
  • A. John
    John is the given name of English comedian, actor, and writer John Cleese, a founding member of the legendary comedy group Monty Python.
  • B. John
    John is the given name of the British physicist J. J. Thomson, who is best known for discovering the electron and proposing the plum pudding model of the atom.
  • C. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • D. John
    John is the given name of the influential American jazz saxophonist and composer John Coltrane.
  • E. John
    John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
  • 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 Phillip Law, givenName, John]
Generated description
John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
  • A. John
    John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
  • B. John
    John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
  • C. John
    John is the given name of American actor John Hodiak, known for his roles in mid-20th-century Hollywood films.
  • 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 birth name of American actor and filmmaker Jack Nicholson, one of cinema’s most acclaimed and iconic performers.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8e6d44819095f949581421e98e completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55667d4908190b6290135eba41e54 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562c8fb948190be87cca65c3b74e1 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56aaa5c9081909f89cfe6a8fc03f0 completed April 19, 2026, 11:52 p.m.
Created at: April 8, 2026, 9:33 p.m.