Triple

T21743641
Position Surface form Disambiguated ID Type / Status
Subject Mason Daring E536727 entity
Predicate notableWork P4 FINISHED
Object Nova (TV series) – various episodes 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: Nova (TV series) – various episodes | Statement: [Mason Daring, notableWork, Nova (TV series) – various episodes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nova (TV series) – various episodes
Context triple: [Mason Daring, notableWork, Nova (TV series) – various episodes]
  • A. television series Nova chosen
    Nova is a long-running American science documentary television series produced by PBS that explores a wide range of scientific topics for a general audience.
  • B. NOVA
    NOVA is a public research university in Lisbon, Portugal, known for its multidisciplinary programs and international outlook.
  • C. NOVA
    NOVA is the commonly used abbreviation for Northern Virginia Community College, a large public community college serving the Northern Virginia region.
  • D. NOVA Spektrum
    NOVA Spektrum is a major Norwegian exhibition and convention center located in Lillestrøm, hosting trade fairs, conferences, and large-scale events.
  • E. Nova series
    The Nova series is a line of mid-range to upper mid-range smartphones by Huawei, known for stylish designs, strong selfie cameras, and youth-oriented features.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.