Triple

T16842452
Position Surface form Disambiguated ID Type / Status
Subject Nish Kumar E409445 entity
Predicate notableWork P4 FINISHED
Object Taskmaster E257921 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: Taskmaster | Statement: [Nish Kumar, notableWork, Taskmaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taskmaster
Context triple: [Nish Kumar, notableWork, Taskmaster]
  • A. Taskmaster chosen
    Taskmaster is a Marvel Comics supervillain and mercenary known for his photographic reflexes, which allow him to instantly mimic any physical skill he observes.
  • B. The Task
    The Task is a long reflective poem by William Cowper that blends meditative blank verse with vivid depictions of rural life and religious contemplation.
  • C. Magic to Do
    "Magic to Do" is the opening musical number from the Broadway show Pippin, known for its theatrical, vaudevillian style and its role in setting the tone for the production.
  • D. Jobman
    Jobman is a South African film directed by Darrell Roodt, known for its socially conscious storytelling within the country’s cinematic landscape.
  • E. TaskManager
    TaskManager is a core Apache Flink runtime component responsible for executing tasks, managing their resources, and handling data exchange between parallel processing units.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb199168819080a9ddc7534f19a7 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.