Triple

T3661877
Position Surface form Disambiguated ID Type / Status
Subject Karamchand E77667 entity
Predicate hasNameComponent P24447 FINISHED
Object Karam
Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
 E377787 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: Karam | Statement: [Karamchand, hasNameComponent, Karam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karam
Context triple: [Karamchand, hasNameComponent, Karam]
  • A. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • B. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • C. Karaikal
    Karaikal is a coastal town and district of the Union Territory of Puducherry in southeastern India, known for its strategic port and location along the Bay of Bengal.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Kuteb
    Kuteb are an indigenous ethnic group primarily inhabiting parts of present-day Taraba State in eastern Nigeria, known for their distinct language and traditional cultural practices.
  • 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: Karam
Triple: [Karamchand, hasNameComponent, Karam]
Generated description
Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karam
Target entity description: Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
  • A. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • B. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • C. Karaikal
    Karaikal is a coastal town and district of the Union Territory of Puducherry in southeastern India, known for its strategic port and location along the Bay of Bengal.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Kuteb
    Kuteb are an indigenous ethnic group primarily inhabiting parts of present-day Taraba State in eastern Nigeria, known for their distinct language and traditional cultural practices.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b4898cae348190871b63b8aabef963 completed March 13, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69b4af2032188190b29939d5dc19ccd1 completed March 14, 2026, 12:43 a.m.
Created at: March 8, 2026, 3:25 p.m.