Triple
T20147799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Ekberg |
E491350
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kerstin |
—
|
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: Kerstin | Statement: [Anita Ekberg, givenName, Kerstin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerstin Context triple: [Anita Ekberg, givenName, Kerstin]
-
A.
Kerstin
chosen
Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
-
B.
Kersti
Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
-
C.
Kersti
Kersti is an Estonian feminine given name most notably borne by former President of Estonia Kersti Kaljulaid.
-
D.
Kirsten
Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
-
E.
Katrin
Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.