Triple
T18432775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melinda Karlsson |
E450313
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Melinda Karlsson |
—
|
NE NERFINISHED |
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: Melinda Karlsson | Statement: [Melinda Karlsson, name, Melinda Karlsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melinda Karlsson Context triple: [Melinda Karlsson, name, Melinda Karlsson]
-
A.
Melinda Karlsson
chosen
Melinda Karlsson is known as the wife of Swedish NHL star defenseman Erik Karlsson and has been involved in various charitable and public activities alongside him.
-
B.
Mona Carlson
Mona Carlson is known as the wife of American actor and television personality Richard Carlson.
-
C.
Laura Holmgren
Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
-
D.
Monica Karlsson
Monica Karlsson is the Swedish artist and mother of singer-songwriter Neneh Cherry.
-
E.
Linda Magnusson
Linda Magnusson is a character in the 1986 science fiction horror film "Invaders from Mars," portrayed as part of the story’s small-town community caught up in an alien invasion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b183adc8190987bc7749d0e673c |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:27 a.m.