Triple

T16183489
Position Surface form Disambiguated ID Type / Status
Subject Sarfarosh E392741 entity
Predicate screenplayBy P15305 FINISHED
Object John Matthew Matthan E1199411 NE FINISHED

How this triple was built (2 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 Matthew Matthan | Statement: [Sarfarosh, screenplayBy, John Matthew Matthan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Matthew Matthan
Context triple: [Sarfarosh, screenplayBy, John Matthew Matthan]
  • A. John Matthew Matthan chosen
    John Matthew Matthan is an Indian film director best known for helming the acclaimed 1999 Hindi crime drama "Sarfarosh."
  • B. Matthew Nathan
    Matthew Nathan was a British Army officer and colonial administrator who served as Governor of Hong Kong in the early 20th century.
  • C. Mathew
    Mathew is the given name of Mathew Knowles, the American music executive best known as Beyoncé’s father and former manager.
  • D. Alex Mather
    Alex Mather is an American entrepreneur best known as the co-founder of the sports media company The Athletic.
  • E. Luke Matheny
    Luke Matheny is an American filmmaker, actor, and writer best known for winning the Academy Award for Best Live Action Short Film for "God of Love."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0017a7223c81909f04144bdffb22ff completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:02 a.m.