Triple

T21428647
Position Surface form Disambiguated ID Type / Status
Subject Akshay Kumar E528625 entity
Predicate notableWork P4 FINISHED
Object Mohra 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: Mohra | Statement: [Akshay Kumar, notableWork, Mohra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohra
Context triple: [Akshay Kumar, notableWork, Mohra]
  • A. Mohra chosen
    Mohra is a 1994 Hindi action thriller film best known for its hit songs and popular performances by Akshay Kumar, Suniel Shetty, Raveena Tandon, and Sadashiv Amrapurkar.
  • B. Modara
    Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
  • C. Mangart
    Mangart is a prominent peak in the Julian Alps on the border between Slovenia and Italy, known for its dramatic limestone cliffs, scenic mountain road, and panoramic alpine views.
  • D. Melaghar
    Melaghar is a town in the Indian state of Tripura known as the gateway to the historic Neermahal water palace and its surrounding lake.
  • E. Morvee
    Morvee is the capital city of the fictional Morvee State.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813db52c8190ac933bc6ec4dbf77 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.