Triple

T17914091
Position Surface form Disambiguated ID Type / Status
Subject Tarzan Goes to India E447881 entity
Predicate stars P1956 FINISHED
Object Murad
Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
E1296169 NE FINISHED

How this triple was built (4 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: [Tarzan Goes to India, stars, Murad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murad
Context triple: [Tarzan Goes to India, stars, Murad]
  • A. Murad
    Murad is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • B. Murad Bey
    Murad Bey was a prominent Mamluk military leader and ruler in late 18th-century Egypt who fiercely resisted Napoleon’s invasion.
  • C. 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.
  • D. 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.
  • E. Mehmed the Hunter
    Mehmed the Hunter was the Ottoman sultan Mehmed IV, noted for his long reign in the 17th century and his passionate devotion to hunting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Murad
Triple: [Tarzan Goes to India, stars, Murad]
Generated description
Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Murad
Target entity description: Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
  • A. Murad
    Murad is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • B. Murad Bey
    Murad Bey was a prominent Mamluk military leader and ruler in late 18th-century Egypt who fiercely resisted Napoleon’s invasion.
  • C. 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.
  • D. 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.
  • E. Mehmed the Hunter
    Mehmed the Hunter was the Ottoman sultan Mehmed IV, noted for his long reign in the 17th century and his passionate devotion to hunting.
  • F. None of above. chosen

Provenance (5 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212ab44c81909120d15c283d1c3c completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a03220af8dc8190aec1469d5c3d63be completed May 12, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a032277e9c8819084a9d4c6f559bebc completed May 12, 2026, 12:52 p.m.
Created at: April 10, 2026, 10:20 a.m.