Triple

T2892130
Position Surface form Disambiguated ID Type / Status
Subject Peter Finch E63851 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: [Peter Finch, notableWork, Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Network
Context triple: [Peter Finch, 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. the internet
    The internet is a global network of interconnected computers and servers that enables worldwide communication, information sharing, and access to digital services.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe060f49c8190bc804614a141c738 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317e15248190bade0f0fd930581a completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:07 p.m.