Triple

T13283850
Position Surface form Disambiguated ID Type / Status
Subject Atypical E316388 entity
Predicate starredActor P5563 FINISHED
Object Nik Dodani E895418 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: Nik Dodani | Statement: [Atypical, starredActor, Nik Dodani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nik Dodani
Context triple: [Atypical, starredActor, Nik Dodani]
  • A. Nik Dodani chosen
    Nik Dodani is an American actor and comedian known for roles in projects like the film adaptation of "Dear Evan Hansen" and the Netflix series "Atypical."
  • B. Mike Kapur
    Mike Kapur is a British businessman and public figure known for his leadership roles in education and civic life, including serving as chancellor of De Montfort University.
  • C. Nitin Ganatra
    Nitin Ganatra is a British actor best known for his long-running role as Masood Ahmed in the BBC soap opera EastEnders.
  • D. Sam Balsara
    Sam Balsara is a prominent Indian advertising and media executive, best known as the founder and chairman of Madison World and Madison Communications.
  • E. Danny Sapani
    Danny Sapani is a British-Ghanaian actor known for his work in film, television, and theatre, including roles in projects like "Penny Dreadful," "Black Panther," and "Star Wars: The Last Jedi."
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a5a98488190804a97a052741377 completed May 3, 2026, 8:42 a.m.
Created at: April 9, 2026, 9:27 p.m.