Triple

T7192332
Position Surface form Disambiguated ID Type / Status
Subject NPL network E167723 entity
Predicate developer P73 FINISHED
Object Donald Davies E27013 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: Donald Davies | Statement: [NPL network, developer, Donald Davies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Davies
Context triple: [NPL network, developer, Donald Davies]
  • A. Donald Davies chosen
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • B. Ralph Metcalfe
    Ralph Metcalfe was an American Olympic sprinter and influential politician who served in the U.S. House of Representatives and became a key leader in advancing African American civil rights.
  • C. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • D. Frank D. Williams
    Frank D. Williams was an early American cinematographer known for his pioneering work in silent films and visual effects techniques.
  • E. Peter Whittle
    Peter Whittle is a prominent New Zealand-born mathematician and statistician renowned for his foundational contributions to probability theory, time series analysis, and stochastic processes.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e901ea1481908a9e44f96dd4b553 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf95a1a0819099d252f037c318c7 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:50 p.m.