Triple

T4032623
Position Surface form Disambiguated ID Type / Status
Subject Dream11 E83750 entity
Predicate operator P179 FINISHED
Object Dream Sports E83750 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: Dream Sports | Statement: [Dream11, operator, Dream Sports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dream Sports
Context triple: [Dream11, operator, Dream Sports]
  • A. Dream Sports chosen
    Dream Sports is an Indian sports technology company best known for operating Dream11, a leading fantasy sports platform.
  • B. Premier Sports
    Premier Sports is a UK-based subscription sports television channel known for broadcasting a range of live sporting events, including football competitions.
  • C. The Basketball Tournament
    The Basketball Tournament is an annual high-stakes, winner-take-all summer basketball competition featuring professional and amateur players in a nationally televised, single-elimination format.
  • D. One Sports
    One Sports is a Philippine free-to-air sports television channel operated by TV5 Network, featuring local and international sporting events.
  • E. Mutual Sports
    Mutual Sports was the Mutual Broadcasting System’s flagship sports programming brand, known for its nationwide radio coverage of major sporting events.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb0f776881909db6b7df1db7664c completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563b6d8c8190862597ea39b56de1 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.