Triple

T11343519
Position Surface form Disambiguated ID Type / Status
Subject MTM Enterprises E268658 entity
Predicate acquiredBy P347 FINISHED
Object TVS Entertainment E920572 NE FINISHED

How this triple was built (2 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: TVS Entertainment | Statement: [MTM Enterprises, acquiredBy, TVS Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVS Entertainment
Context triple: [MTM Enterprises, acquiredBy, TVS Entertainment]
  • A. TVS Entertainment chosen
    TVS Entertainment is a television production and distribution company that operated under the ownership of MTM Enterprises.
  • B. TVS Television Network
    TVS Television Network was an American syndicated sports television network known for broadcasting a wide range of live sporting events and special programming from the 1960s through the 1980s.
  • C. Sky Entertainment channels
    Sky Entertainment channels are a collection of premium TV channels from Sky featuring popular drama, comedy, reality, and entertainment programming.
  • D. Vijay TV
    Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
  • E. TVH
    TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55649a9188190911608fef5894bd8 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.