Triple

T15004199
Position Surface form Disambiguated ID Type / Status
Subject Prince Daniyal Mirza E377667 entity
Predicate fullName P16 FINISHED
Object Daniyal Mirza E77509 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: Daniyal Mirza | Statement: [Prince Daniyal Mirza, fullName, Daniyal Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniyal Mirza
Context triple: [Prince Daniyal Mirza, fullName, Daniyal Mirza]
  • A. Daniyal Mirza chosen
    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.
  • B. Adeel Akhtar
    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."
  • C. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • D. Rehan Siddiqui
    Rehan Siddiqui is a British climbing and mountaineering leader who has served as president of the British Mountaineering Council, the national representative body for climbers, hill walkers, and mountaineers in Britain.
  • E. Shaheen Khan
    Shaheen Khan is a British actress best known for her role as the protagonist’s mother in the hit film "Bend It Like Beckham."
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a04eec8190b347bf3637aba0bc completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.