Triple

T11289298
Position Surface form Disambiguated ID Type / Status
Subject Shashi Kapoor E267281 entity
Predicate notableWork P4 FINISHED
Object Vijeta
Vijeta is a 1982 Indian Hindi-language drama film, produced by and starring Shashi Kapoor, that follows a young man's journey to becoming an Indian Air Force pilot against the backdrop of the 1971 Indo-Pak war.
E916575 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: Vijeta | Statement: [Shashi Kapoor, notableWork, Vijeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijeta
Context triple: [Shashi Kapoor, notableWork, Vijeta]
  • A. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • B. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • C. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • D. Radicava
    Radicava is a prescription medication containing edaravone, used to slow the progression of amyotrophic lateral sclerosis (ALS) in adults.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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: Vijeta
Triple: [Shashi Kapoor, notableWork, Vijeta]
Generated description
Vijeta is a 1982 Indian Hindi-language drama film, produced by and starring Shashi Kapoor, that follows a young man's journey to becoming an Indian Air Force pilot against the backdrop of the 1971 Indo-Pak war.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vijeta
Target entity description: Vijeta is a 1982 Indian Hindi-language drama film, produced by and starring Shashi Kapoor, that follows a young man's journey to becoming an Indian Air Force pilot against the backdrop of the 1971 Indo-Pak war.
  • A. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • B. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • C. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • D. Radicava
    Radicava is a prescription medication containing edaravone, used to slow the progression of amyotrophic lateral sclerosis (ALS) in adults.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4ff1e17e88190af1dd4b8bd8e5ca6 completed April 19, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69e500f5cfe481909c8e6dfd530084bc completed April 19, 2026, 4:21 p.m.
Created at: April 8, 2026, 9:32 p.m.