Triple
T21081766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wójcicki |
E519386
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Wójcicka |
—
|
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: Wójcicka | Statement: [Wójcicki, hasFeminineForm, Wójcicka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wójcicka Context triple: [Wójcicki, hasFeminineForm, Wójcicka]
-
A.
Agnieszka Włodarczyk
Agnieszka Włodarczyk is a Polish actress and singer best known for her roles in popular Polish films and television series.
-
B.
Śliwińska
Śliwińska is a Polish surname most notably borne by professional ballroom dancer and choreographer Edyta Śliwińska.
-
C.
Marta Kwiatkowska
Marta Kwiatkowska is a prominent computer scientist known for her contributions to probabilistic model checking and formal verification.
-
D.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
E.
Wójcicki
chosen
Wójcicki is a Polish surname most notably associated with figures such as Susan Wojcicki, the former CEO of YouTube, and her family.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702db430c81908a1547d8fbe45506 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.