Triple

T4165542
Position Surface form Disambiguated ID Type / Status
Subject Gunnar Myrdal E84436 entity
Predicate familyName P18 FINISHED
Object Myrdal E84436 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: Myrdal | Statement: [Gunnar Myrdal, familyName, Myrdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myrdal
Context triple: [Gunnar Myrdal, familyName, Myrdal]
  • A. Alva Myrdal
    Alva Myrdal was a Swedish sociologist, diplomat, and politician who received the Nobel Peace Prize in 1982 for her work on nuclear disarmament.
  • B. Gunnar Myrdal chosen
    Gunnar Myrdal was a Swedish economist and sociologist renowned for his work on the welfare state, economic theory, and race relations, and for being a co-recipient of the Nobel Memorial Prize in Economic Sciences.
  • C. Veblen
    Veblen is a surname most notably associated with influential American mathematician Oswald Veblen and economist Thorstein Veblen.
  • D. Barro
    Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Hägglunds
    Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ac8e788190a8f3563a2903bbad completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f478c948190a997e006015e588d completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.