Triple

T7610722
Position Surface form Disambiguated ID Type / Status
Subject Milner's Kindergarten E172226 entity
Predicate hasNotableAlumnus P51 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: [Milner's Kindergarten, hasNotableAlumnus, Patrick Duncan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Duncan
Context triple: [Milner's Kindergarten, hasNotableAlumnus, 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87097d3a48190b337ff6906847d4e completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:54 p.m.