Triple

T14177315
Position Surface form Disambiguated ID Type / Status
Subject Vinod E351365 entity
Predicate hasScriptForm P5713 FINISHED
Object विनोद
विनोद एक सामान्य भारतीय पुरुष नाम है, जिसका अर्थ 'हास्य' या 'मज़ाक' होता है।
 E1084546 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: विनोद | Statement: [Vinod, hasScriptForm, विनोद]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: विनोद
Context triple: [Vinod, hasScriptForm, विनोद]
  • A. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • B. Pawri
    Pawri is an Indo-Aryan tribal language spoken primarily by the Pawra (Pawri) community in parts of Maharashtra and neighboring regions of India.
  • C. Humor Me
    "Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
  • D. حي الطريف
    حي الطريف هو حي تاريخي في مدينة الدرعية بالمملكة العربية السعودية يُعد من أبرز مواقع التراث العالمي لليونسكو لكونه مركزاً قديماً لحكم الدولة السعودية الأولى.
  • E. Game for a Laugh
    Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
  • 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: विनोद
Triple: [Vinod, hasScriptForm, विनोद]
Generated description
विनोद एक सामान्य भारतीय पुरुष नाम है, जिसका अर्थ 'हास्य' या 'मज़ाक' होता है।
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: विनोद
Target entity description: विनोद एक सामान्य भारतीय पुरुष नाम है, जिसका अर्थ 'हास्य' या 'मज़ाक' होता है।
  • A. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • B. Pawri
    Pawri is an Indo-Aryan tribal language spoken primarily by the Pawra (Pawri) community in parts of Maharashtra and neighboring regions of India.
  • C. Humor Me
    "Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
  • D. حي الطريف
    حي الطريف هو حي تاريخي في مدينة الدرعية بالمملكة العربية السعودية يُعد من أبرز مواقع التراث العالمي لليونسكو لكونه مركزاً قديماً لحكم الدولة السعودية الأولى.
  • E. Game for a Laugh
    Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80f03a48190a5374fb6374255a8 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd09b00dc48190bec9853e3dc78f26 completed May 7, 2026, 9:52 p.m.
NED2 Entity disambiguation (via description) batch_69fd0a4c377c81909af76e8bd47e2f2a completed May 7, 2026, 9:55 p.m.
Created at: April 10, 2026, 1:02 a.m.