Triple

T20740583
Position Surface form Disambiguated ID Type / Status
Subject The Net 2.0 E510426 entity
Predicate partOfSeries P1761 FINISHED
Object The Net film series 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: The Net film series | Statement: [The Net 2.0, partOfSeries, The Net film series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Net film series
Context triple: [The Net 2.0, partOfSeries, The Net film series]
  • A. The Net chosen
    The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
  • B. Ten Films
    Ten Films is a film production company known for producing the movie "Samba."
  • C. Lemp Family film series
    The Lemp Family film series is a collection of early 20th-century American films that follow the lives and relationships of the Lemp family, adapted from Fannie Hurst’s popular stories.
  • D. The Huggetts film series
    The Huggetts film series is a group of late-1940s British comedy-dramas following the everyday adventures of a working-class London family, popular for their warm, slice-of-life portrayal of postwar Britain.
  • E. The Librarian film series
    The Librarian film series is a collection of fantasy–adventure TV movies following a quirky, bookish hero who protects mystical artifacts and ancient secrets for a secretive library organization.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20e76ac8190985203b2c17aca14 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.