Triple

T3321403
Position Surface form Disambiguated ID Type / Status
Subject A Passage to India E69802 entity
Predicate starring P1507 FINISHED
Object Saeed Jaffrey E235467 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: Saeed Jaffrey | Statement: [A Passage to India, starring, Saeed Jaffrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saeed Jaffrey
Context triple: [A Passage to India, starring, Saeed Jaffrey]
  • A. Saeed Jaffrey chosen
    Saeed Jaffrey was a distinguished Indian-born British actor known for his versatile performances in film, television, and theatre, including notable roles in both Bollywood and international cinema.
  • B. Alim Khan
    Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
  • C. Arif Masood
    Arif Masood is a Pakistani architect best known for designing the iconic Pakistan Monument in Islamabad.
  • D. Irrfan Khan
    Irrfan Khan was a critically acclaimed Indian actor known for his powerful performances in both Bollywood and international films such as "The Namesake," "Slumdog Millionaire," and "Life of Pi."
  • E. Amjad Ali Shah
    Amjad Ali Shah was the fourth Nawab of Awadh, known for his architectural patronage and contributions to Lucknow’s religious and cultural landscape.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13b85208190b13aba355d5dafcf completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7954248190b0c7b5d6ab3c6687 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.