Triple

T22273804
Position Surface form Disambiguated ID Type / Status
Subject Five Rifles E550548 entity
Predicate featuresActor P15562 FINISHED
Object Murad 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: Murad | Statement: [Five Rifles, featuresActor, Murad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murad
Context triple: [Five Rifles, featuresActor, Murad]
  • A. Murad
    Murad is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • B. Murad chosen
    Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
  • C. Murad Bey
    Murad Bey was a prominent Mamluk military leader and ruler in late 18th-century Egypt who fiercely resisted Napoleon’s invasion.
  • D. Murad I
    Murad I was a 14th-century Ottoman sultan who significantly expanded Ottoman territories in the Balkans and Anatolia, laying key foundations for the empire’s rise.
  • E. Murad Mirza
    Murad Mirza was a Mughal prince of the 16th century, known as one of Emperor Akbar’s sons who held military commands but died relatively young.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.