Triple

T16827088
Position Surface form Disambiguated ID Type / Status
Subject Harsh Jain E409046 entity
Predicate employer P7 FINISHED
Object Dream11 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: Dream11 | Statement: [Harsh Jain, employer, Dream11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dream11
Context triple: [Harsh Jain, employer, Dream11]
  • A. Dream Sports chosen
    Dream Sports is an Indian sports technology company best known for operating Dream11, a leading fantasy sports platform.
  • B. Pro Kabaddi League
    The Pro Kabaddi League is India’s premier franchise-based kabaddi competition that popularized the sport with a televised, fast-paced league format.
  • C. IPL
    IPL is the three-letter IATA airport code for Imperial County Airport in California, United States.
  • D. IPL
    IPL is a French biomedical research institute in Lille known for its work in infectious diseases, immunology, and public health.
  • E. Indiawin Sports
    Indiawin Sports is a sports management company owned by Reliance Industries that operates and oversees the Mumbai Indians franchise in the Indian Premier League.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31404c88190a3b2802842ca77eb completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29e48f881908489bd77a9caec97 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.