Triple

T21944816
Position Surface form Disambiguated ID Type / Status
Subject Hu Tu Tu E541907 entity
Predicate distributedBy P1951 FINISHED
Object Time Magnetics 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: Time Magnetics | Statement: [Hu Tu Tu, distributedBy, Time Magnetics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Magnetics
Context triple: [Hu Tu Tu, distributedBy, Time Magnetics]
  • A. Time Magnetics chosen
    Time Magnetics is an Indian film production company known for backing the political drama movie "Hu Tu Tu."
  • B. Magnetes
    Magnetes were an ancient Greek tribe from the region of Magnesia in Thessaly, known from myth and history as participants in wider Hellenic religious and political affairs.
  • C. The Magnet
    The Magnet is a 1950 British comedy film, often noted for its whimsical portrayal of childhood and moral dilemmas, directed by Charles Frend.
  • D. Magnet
    Magnet is a Norwegian musician and singer-songwriter known for his atmospheric, melodic indie and folk-influenced music.
  • E. Time Masters
    The Time Masters are a powerful organization of time-traveling overseers in the DC television universe who attempt to control and preserve the timeline, often clashing with the heroes of Legends of Tomorrow.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.