Triple

T17065838
Position Surface form Disambiguated ID Type / Status
Subject Ronan Bennett E414083 entity
Predicate hasWrittenFor P11775 FINISHED
Object The Observer E201234 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: The Observer | Statement: [Ronan Bennett, hasWrittenFor, The Observer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Observer
Context triple: [Ronan Bennett, hasWrittenFor, The Observer]
  • A. The Observer chosen
    The Observer is a long-running British Sunday newspaper known for its in-depth journalism and commentary on politics, culture, and current affairs.
  • B. The Observer
    The Observer was an earlier newspaper that eventually evolved into or was succeeded by The News & Observer.
  • C. The New Observer
    The New Observer was the original name of the British newspaper that later became known as The Sunday Times.
  • D. The Guardian
    The Guardian is a British daily newspaper known for its progressive editorial stance and in-depth coverage of national and international news, culture, and opinion.
  • E. The Guardian
    The Guardian is a 2006 action-drama film about U.S. Coast Guard rescue swimmers, starring Kevin Costner and Ashton Kutcher.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db8171348190ab68d2e4f05f7120 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.