Triple

T11240785
Position Surface form Disambiguated ID Type / Status
Subject Shammi Kapoor E266067 entity
Predicate givenName P17 FINISHED
Object Shamsher
Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
E913406 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: Shamsher | Statement: [Shammi Kapoor, givenName, Shamsher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shamsher
Context triple: [Shammi Kapoor, givenName, Shamsher]
  • A. Khushal
    Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
  • B. Sher Afgan Khan
    Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
  • C. Rustam Khan
    Rustam Khan was a Mughal-era noble and governor credited with establishing the city of Moradabad in northern India.
  • D. Bakht Khan
    Bakht Khan was a key military leader of the Indian Rebellion of 1857, known for organizing and commanding rebel forces against British rule.
  • E. Ram Shah
    Ram Shah was a prominent 17th-century king of the Gorkha Kingdom in present-day Nepal, renowned for his just rule and legal reforms that laid foundations for later unification efforts.
  • 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: Shamsher
Triple: [Shammi Kapoor, givenName, Shamsher]
Generated description
Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shamsher
Target entity description: Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
  • A. Khushal
    Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
  • B. Sher Afgan Khan
    Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
  • C. Rustam Khan
    Rustam Khan was a Mughal-era noble and governor credited with establishing the city of Moradabad in northern India.
  • D. Bakht Khan
    Bakht Khan was a key military leader of the Indian Rebellion of 1857, known for organizing and commanding rebel forces against British rule.
  • E. Ram Shah
    Ram Shah was a prominent 17th-century king of the Gorkha Kingdom in present-day Nepal, renowned for his just rule and legal reforms that laid foundations for later unification efforts.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad79e4788190af39186f37600a64 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12eee348190bee6c84587e4955d completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4be2bb8c88190a21773b0c43b6b99 completed April 19, 2026, 11:36 a.m.
Created at: April 8, 2026, 9:30 p.m.