Triple

T19273819
Position Surface form Disambiguated ID Type / Status
Subject Well Done Abba E481994 entity
Predicate hasCastMember P2308 FINISHED
Object Ravi Jhankal NE NERFINISHED

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: Ravi Jhankal | Statement: [Well Done Abba, hasCastMember, Ravi Jhankal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravi Jhankal
Context triple: [Well Done Abba, hasCastMember, Ravi Jhankal]
  • A. Ravi Jhankal chosen
    Ravi Jhankal is an Indian film, television, and theatre actor known for his character roles in critically acclaimed Hindi productions.
  • B. Suresh Krissna
    Suresh Krissna is an Indian film director best known for his successful Tamil and Telugu commercial films, including major hits with superstar Rajinikanth.
  • C. Ravi Basrur
    Ravi Basrur is an Indian film music composer and sound designer best known for his work on high-profile Kannada films such as the K.G.F series.
  • D. Akshay Tandon
    Akshay Tandon is an Indian businessman and sports executive best known for his ownership and leadership role with Indian Super League football club FC Goa.
  • E. Gautam Kumar
    Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.