Triple

T8431812
Position Surface form Disambiguated ID Type / Status
Subject Les Misérables (2018 miniseries) E199130 entity
Predicate stars P1956 FINISHED
Object Adeel Akhtar E318172 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: Adeel Akhtar | Statement: [Les Misérables (2018 miniseries), stars, Adeel Akhtar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adeel Akhtar
Context triple: [Les Misérables (2018 miniseries), stars, Adeel Akhtar]
  • A. Adeel Akhtar chosen
    Adeel Akhtar is a British actor known for his versatile performances in film and television, including acclaimed roles in projects like "Four Lions," "Utopia," and "Murdered by My Father."
  • B. Daniyal Mirza
    Daniyal Mirza was a Mughal prince of the 16th century, notable as one of Emperor Akbar's sons who played a role in the empire's dynastic politics.
  • C. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Owais Shah
    Owais Shah is a former England international cricketer and batting specialist who has transitioned into coaching roles in franchise T20 leagues.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce038902308190bff57c9ce14e72ed completed April 2, 2026, 5:50 a.m.
Created at: March 30, 2026, 6:07 p.m.