Triple
T23508512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kees van Kooten |
E572350
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Kim van Kooten |
—
|
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: Kim van Kooten | Statement: [Kees van Kooten, hasChild, Kim van Kooten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim van Kooten Context triple: [Kees van Kooten, hasChild, Kim van Kooten]
-
A.
Kim van Kooten
chosen
Kim van Kooten is a Dutch actress and screenwriter known for her prominent roles in film and television and for her acclaimed work on character-driven screenplays.
-
B.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
-
C.
Jan Kleyna
Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
-
D.
Kat Kerkhofs
Kat Kerkhofs is a Belgian television presenter and media personality, known both for her own entertainment work and as the wife of professional footballer Dries Mertens.
-
E.
Femke Wolting
Femke Wolting is a Dutch film and television producer known for innovative, often internationally oriented documentaries and feature films.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a902c0788190840d7df1b5450b4d |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.