Triple

T10213284
Position Surface form Disambiguated ID Type / Status
Subject Rangeela E242381 entity
Predicate producer P490 FINISHED
Object Varma Corporation
Varma Corporation is a film production company best known for producing the 1995 Hindi musical comedy-drama "Rangeela."
 E849931 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: Varma Corporation | Statement: [Rangeela, producer, Varma Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varma Corporation
Context triple: [Rangeela, producer, Varma Corporation]
  • A. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • B. Varien Inc.
    Varien Inc. is the original company behind the creation and launch of the Magento e-commerce platform.
  • C. Woodard Corporation
    Woodard Corporation is a group of Anglican-founded independent schools in the United Kingdom, known for providing education with a strong Christian ethos.
  • D. Summa Corporation
    Summa Corporation was the holding company for Howard Hughes’s business empire, overseeing diverse ventures in aviation, real estate, and entertainment.
  • E. Martin Company
    Martin Company was a major American aerospace and defense contractor known for developing missiles, spacecraft, and military systems before merging into Lockheed Martin.
  • 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: Varma Corporation
Triple: [Rangeela, producer, Varma Corporation]
Generated description
Varma Corporation is a film production company best known for producing the 1995 Hindi musical comedy-drama "Rangeela."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varma Corporation
Target entity description: Varma Corporation is a film production company best known for producing the 1995 Hindi musical comedy-drama "Rangeela."
  • A. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • B. Varien Inc.
    Varien Inc. is the original company behind the creation and launch of the Magento e-commerce platform.
  • C. Woodard Corporation
    Woodard Corporation is a group of Anglican-founded independent schools in the United Kingdom, known for providing education with a strong Christian ethos.
  • D. Summa Corporation
    Summa Corporation was the holding company for Howard Hughes’s business empire, overseeing diverse ventures in aviation, real estate, and entertainment.
  • E. Martin Company
    Martin Company was a major American aerospace and defense contractor known for developing missiles, spacecraft, and military systems before merging into Lockheed Martin.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d657818b008190a24170717cff53b9 completed April 8, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69d65835a11c819083d069ab0f644d4c completed April 8, 2026, 1:29 p.m.
Created at: April 6, 2026, 11:03 a.m.