Triple

T8138823
Position Surface form Disambiguated ID Type / Status
Subject Smuts government E190037 entity
Predicate governorGeneral P6465 FINISHED
Object Patrick Duncan E677036 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: Patrick Duncan | Statement: [Smuts government, governorGeneral, Patrick Duncan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Duncan
Context triple: [Smuts government, governorGeneral, Patrick Duncan]
  • A. Patrick Duncan chosen
    Patrick Duncan was a prominent South African politician and anti-apartheid activist who served as Governor-General of the Union of South Africa.
  • B. Adam Duncan
    Adam Duncan was an 18th-century British admiral best known for his decisive naval victory over the Dutch fleet at the Battle of Camperdown in 1797.
  • C. Robert Crawford
    Robert Crawford is a common personal name shared by various notable individuals across fields such as politics, sports, and the arts.
  • D. Eric Drummond
    Eric Drummond was a British diplomat best known for serving as the first Secretary-General of the League of Nations, helping to shape the early framework of modern international diplomacy.
  • E. Ian Buchanan
    Ian Buchanan is a Scottish television and film actor known for roles in series like "Twin Peaks" and "General Hospital" as well as various feature films.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4403cd348190a66ca9ee70d750fb completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94a3fb348190ab8895a7344f964e completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:35 p.m.