Triple

T14177318
Position Surface form Disambiguated ID Type / Status
Subject Vinod E351365 entity
Predicate hasScriptForm P5713 FINISHED
Object వినోద్
వినోద్ ఒక సాధారణ భారతీయ పురుష పేరు, ముఖ్యంగా తెలుగు మరియు ఇతర భారతీయ భాషల్లో విస్తృతంగా ఉపయోగించబడుతుంది.
 E1084547 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: వినోద్ | Statement: [Vinod, hasScriptForm, వినోద్]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: వినోద్
Context triple: [Vinod, hasScriptForm, వినోద్]
  • A. Veedu
    Veedu is a critically acclaimed Indian Tamil-language film directed by Balu Mahendra, known for its realistic portrayal of middle-class struggles and understated storytelling.
  • B. Vadaavali
    Vadaavali is a significant philosophical work by the Dvaita Vedanta scholar Jayatirtha, known for its systematic exposition and defense of Madhvacharya’s dualistic doctrines.
  • C. Devadasu
    Devadasu is a classic 1953 Telugu romantic drama film, widely regarded as one of Indian cinema’s most iconic tragic love stories.
  • D. Kadu Kudure
    Kadu Kudure is a celebrated Kannada play by Chandrashekhara Kambara, known for its blend of folk elements, social critique, and poetic dialogue.
  • E. Bujjigadu
    Bujjigadu is a 2008 Telugu-language action film starring Prabhas, known for its mass entertainment style and energetic performance.
  • 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: వినోద్
Triple: [Vinod, hasScriptForm, వినోద్]
Generated description
వినోద్ ఒక సాధారణ భారతీయ పురుష పేరు, ముఖ్యంగా తెలుగు మరియు ఇతర భారతీయ భాషల్లో విస్తృతంగా ఉపయోగించబడుతుంది.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: వినోద్
Target entity description: వినోద్ ఒక సాధారణ భారతీయ పురుష పేరు, ముఖ్యంగా తెలుగు మరియు ఇతర భారతీయ భాషల్లో విస్తృతంగా ఉపయోగించబడుతుంది.
  • A. Veedu
    Veedu is a critically acclaimed Indian Tamil-language film directed by Balu Mahendra, known for its realistic portrayal of middle-class struggles and understated storytelling.
  • B. Vadaavali
    Vadaavali is a significant philosophical work by the Dvaita Vedanta scholar Jayatirtha, known for its systematic exposition and defense of Madhvacharya’s dualistic doctrines.
  • C. Devadasu
    Devadasu is a classic 1953 Telugu romantic drama film, widely regarded as one of Indian cinema’s most iconic tragic love stories.
  • D. Kadu Kudure
    Kadu Kudure is a celebrated Kannada play by Chandrashekhara Kambara, known for its blend of folk elements, social critique, and poetic dialogue.
  • E. Bujjigadu
    Bujjigadu is a 2008 Telugu-language action film starring Prabhas, known for its mass entertainment style and energetic performance.
  • 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.