Triple

T16791976
Position Surface form Disambiguated ID Type / Status
Subject Rajat Kapoor E408131 entity
Predicate notableWork P4 FINISHED
Object Raghu Romeo
Raghu Romeo is an Indian black comedy film that follows a naive waiter entangled in a bizarre kidnapping plot involving his television soap-opera idol.
 E1233631 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: Raghu Romeo | Statement: [Rajat Kapoor, notableWork, Raghu Romeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raghu Romeo
Context triple: [Rajat Kapoor, notableWork, Raghu Romeo]
  • A. Raghu
    Raghu was a monarch of the ancient Indian Kadamba dynasty, known for ruling parts of present-day Karnataka.
  • B. Raghava
    Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
  • C. Ravi
    Ravi is a common Indian male given name of Sanskrit origin meaning "sun" or "sun god."
  • D. Ravi
    Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
  • E. Govinda
    Govinda is a revered name of the Hindu god Vishnu, particularly associated with his Krishna avatar as the protector of cows and giver of joy.
  • 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: Raghu Romeo
Triple: [Rajat Kapoor, notableWork, Raghu Romeo]
Generated description
Raghu Romeo is an Indian black comedy film that follows a naive waiter entangled in a bizarre kidnapping plot involving his television soap-opera idol.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raghu Romeo
Target entity description: Raghu Romeo is an Indian black comedy film that follows a naive waiter entangled in a bizarre kidnapping plot involving his television soap-opera idol.
  • A. Raghu
    Raghu was a monarch of the ancient Indian Kadamba dynasty, known for ruling parts of present-day Karnataka.
  • B. Raghava
    Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
  • C. Ravi
    Ravi is a common Indian male given name of Sanskrit origin meaning "sun" or "sun god."
  • D. Ravi
    Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
  • E. Govinda
    Govinda is a revered name of the Hindu god Vishnu, particularly associated with his Krishna avatar as the protector of cows and giver of joy.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a6c9888190b3f8f625b299574d completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0c39108190a332fdc78c053628 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00ac621b3881908887b640bf3e3fce completed May 10, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.