Triple

T9623498
Position Surface form Disambiguated ID Type / Status
Subject Sharon Duncan-Brewster E232400 entity
Predicate hasGivenInterviewTo P40000 FINISHED
Object The Guardian E39599 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 Guardian | Statement: [Sharon Duncan-Brewster, hasGivenInterviewTo, The Guardian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Guardian
Context triple: [Sharon Duncan-Brewster, hasGivenInterviewTo, The Guardian]
  • A. The Guardian chosen
    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.
  • B. The Observer
    The Observer was an earlier newspaper that eventually evolved into or was succeeded by The News & Observer.
  • C. The Observer
    The Observer is a long-running British Sunday newspaper known for its in-depth journalism and commentary on politics, culture, and current affairs.
  • D. Scoop
    Scoop is a satirical novel by Evelyn Waugh that lampoons sensationalist journalism and foreign correspondence.
  • E. Scoop
    Scoop was the widely used nickname of Henry M. Jackson, a long-serving and influential U.S. senator from Washington known for his strong national defense and Cold War foreign policy positions.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797ab3d4819088da04fd5d00386b completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.