Triple

T19192781
Position Surface form Disambiguated ID Type / Status
Subject Utkarsh Ambudkar E469884 entity
Predicate givenName P17 FINISHED
Object Utkarsh
Utkarsh is a masculine given name of Indian origin commonly used in Hindi-speaking communities.
E1363490 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: Utkarsh | Statement: [Utkarsh Ambudkar, givenName, Utkarsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utkarsh
Context triple: [Utkarsh Ambudkar, givenName, Utkarsh]
  • A. Utsav
    Utsav is a 1984 Hindi film adaptation of the Sanskrit play "Mṛcchakatika," known for its period setting, bold themes, and Shashi Kapoor’s role as producer.
  • B. Sudarshan
    Sudarshan is a common Indian surname found across various regions and communities in India.
  • C. Adhir Kalyan
    Adhir Kalyan is a South African-born actor best known for his comedic television roles, including a prominent part on the sitcom "Rules of Engagement."
  • D. Kunal
    Kunal is an archaeological site in Haryana, India, known for its early Harappan (Indus Valley Civilization) remains.
  • E. Shashi
    Shashi is an Indian given name commonly used for both males and females, often associated with the moon or moonlight in Sanskrit.
  • 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: Utkarsh
Triple: [Utkarsh Ambudkar, givenName, Utkarsh]
Generated description
Utkarsh is a masculine given name of Indian origin commonly used in Hindi-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Utkarsh
Target entity description: Utkarsh is a masculine given name of Indian origin commonly used in Hindi-speaking communities.
  • A. Utsav
    Utsav is a 1984 Hindi film adaptation of the Sanskrit play "Mṛcchakatika," known for its period setting, bold themes, and Shashi Kapoor’s role as producer.
  • B. Sudarshan
    Sudarshan is a common Indian surname found across various regions and communities in India.
  • C. Adhir Kalyan
    Adhir Kalyan is a South African-born actor best known for his comedic television roles, including a prominent part on the sitcom "Rules of Engagement."
  • D. Kunal
    Kunal is an archaeological site in Haryana, India, known for its early Harappan (Indus Valley Civilization) remains.
  • E. Shashi
    Shashi is an Indian given name commonly used for both males and females, often associated with the moon or moonlight in Sanskrit.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a3434881908acc4063a9ee9386 completed April 20, 2026, 9:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8be168481908471d062847a444b completed May 15, 2026, 10:43 a.m.
NEDg Description generation batch_6a06f9578a4081908f9a7fa233c4d337 completed May 15, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9b4a6808190a25c2e1f30966dc7 completed May 15, 2026, 10:47 a.m.
Created at: April 10, 2026, 12:07 p.m.