Triple

T1802815
Position Surface form Disambiguated ID Type / Status
Subject Tamil cinema E39755 entity
Predicate hasNotableFilm P26606 FINISHED
Object Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
E202787 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: Baashha | Statement: [Tamil cinema, hasNotableFilm, Baashha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baashha
Context triple: [Tamil cinema, hasNotableFilm, Baashha]
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • D. Baigas
    The Baigas are an indigenous tribal community of central India known for their traditional shifting cultivation, forest-based lifestyle, and distinct cultural and spiritual practices.
  • E. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • 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: Baashha
Triple: [Tamil cinema, hasNotableFilm, Baashha]
Generated description
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baashha
Target entity description: Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • D. Baigas
    The Baigas are an indigenous tribal community of central India known for their traditional shifting cultivation, forest-based lifestyle, and distinct cultural and spiritual practices.
  • E. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659535448190b60cb4b0ad2972b6 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5645808190a774d96cfe5c5e58 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adbff32038819088dffc71e8376821 completed March 8, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69adc084c9b88190a0d53f5c7c459611 completed March 8, 2026, 6:31 p.m.
Created at: March 4, 2026, 7:32 p.m.