Triple
T4478289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alva Myrdal |
E100064
|
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: [Alva Myrdal, familyName, Myrdal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrdal Context triple: [Alva 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.
Knut Wicksell
Knut Wicksell was a Swedish economist whose work on interest rates, price levels, and monetary theory profoundly shaped modern macroeconomics and influenced later thinkers like Hayek and Keynes.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356d9d1d08190b3f9356eefd237dc |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62888ea508190a052c0b2edee7fca |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.