Triple

T10512154
Position Surface form Disambiguated ID Type / Status
Subject Sidney Lumet E247940 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: [Sidney Lumet, notableWork, Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Network
Context triple: [Sidney Lumet, 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. Type Network
    Type Network is a collaborative type foundry and distribution platform that offers a curated collection of high-quality digital fonts from independent designers and foundries.
  • D. NET
    NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
  • E. 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.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcf65f808190993dbacde2df20eb completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:27 p.m.