Triple
T22428113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Boy |
E554425
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Monika Lenczewska |
—
|
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: Monika Lenczewska | Statement: [Honey Boy, editedBy, Monika Lenczewska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monika Lenczewska Context triple: [Honey Boy, editedBy, Monika Lenczewska]
-
A.
Monika Lenczewska
chosen
Monika Lenczewska is a Polish cinematographer known for her visually striking work on international films and television projects.
-
B.
Monika Jaruzelska
Monika Jaruzelska is a Polish journalist, writer, and former stylist, known both for her media work and as the daughter of Poland’s former communist leader Wojciech Jaruzelski.
-
C.
Jolanta Kwaśniewska
Jolanta Kwaśniewska is a Polish lawyer, charity activist, and former First Lady of Poland known for her social and philanthropic work.
-
D.
Maja Ostaszewska
Maja Ostaszewska is a Polish film, television, and theater actress known for her versatile dramatic roles and collaborations with prominent Polish directors.
-
E.
Agnieszka Grochowska
Agnieszka Grochowska is a Polish film and theatre actress known for her roles in both Polish cinema and international productions.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2f054c819093fbe173c8a4a544 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.