Triple

T4137844
Position Surface form Disambiguated ID Type / Status
Subject Paddy Chayefsky E89199 entity
Predicate notableWork P4 FINISHED
Object Network E300953 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: Network | Statement: [Paddy Chayefsky, notableWork, Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Network
Context triple: [Paddy Chayefsky, notableWork, Network]
  • A. Network chosen
    Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
  • B. Networker
    Networker is a family of electric and diesel multiple-unit trains used on suburban and regional rail services in southeast England.
  • C. NET
    NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
  • D. The Internet
    The Internet is an American R&B and neo-soul band known for their smooth, genre-blending sound and association with the Odd Future collective.
  • E. Internet Area
    The Internet Area is a division of the IETF responsible for protocols and technologies that enable and manage core Internet infrastructure and routing.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0246e40081908ad6741a830ca68e completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c9f8a081908c2910ac475e4974 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.