Triple

T20462665
Position Surface form Disambiguated ID Type / Status
Subject Funny Lady E501965 entity
Predicate starring P1507 FINISHED
Object Omar Sharif NE NERFINISHED

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: Omar Sharif | Statement: [Funny Lady, starring, Omar Sharif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar Sharif
Context triple: [Funny Lady, starring, Omar Sharif]
  • A. Omar Sharif chosen
    Omar Sharif was an acclaimed Egyptian actor known internationally for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • B. Peter O'Toole
    Peter O'Toole was an acclaimed Irish-English actor renowned for his charismatic screen presence and multiple Academy Award–nominated performances across film, stage, and television.
  • C. Dirk Bogarde
    Dirk Bogarde was a distinguished British actor and author known for his nuanced performances in mid-20th-century cinema and later acclaimed literary career.
  • D. Richard Burton
    Richard Burton was a renowned Welsh actor celebrated for his powerful Shakespearean performances and intense screen presence in classic films of the mid-20th century.
  • E. Oliver Reed
    Oliver Reed was a British actor known for his intense screen presence and roles in films such as "Oliver!", "Women in Love," and his final performance in "Gladiator."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a761648190b24cf4bb90a8abb1 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.