Triple

T18884942
Position Surface form Disambiguated ID Type / Status
Subject Karan Thapar E461933 entity
Predicate hosted P2777 FINISHED
Object To The Point 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: To The Point | Statement: [Karan Thapar, hosted, To The Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To The Point
Context triple: [Karan Thapar, hosted, To The Point]
  • A. To the Point chosen
    To the Point is a public affairs radio program known for in-depth analysis and discussion of current events and political issues.
  • B. Getting to the Point
    "Getting to the Point" is a song by the British rock band Electric Light Orchestra from their 1986 album "Balance of Power."
  • C. Something to Point To
    "Something to Point To" is a musical number from the Broadway rock musical "Working," adapted from Studs Terkel’s book and focusing on the dignity and meaning people find in their jobs.
  • D. On Point
    "On Point" is a 1994 hip hop single by House of Pain known for its hard-hitting production and aggressive lyrical style.
  • E. The Point!
    The Point! is a 1970 concept album by American singer-songwriter Harry Nilsson, best known for its whimsical narrative about a boy named Oblio in a world where everything must have a point.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d53e608190b8740c092b6e1523 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.