Triple
T4233020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthonie Heinsius |
E94624
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Anthonie |
E105088
|
NE FINISHED |
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: Anthonie | Statement: [Anthonie Heinsius, givenName, Anthonie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthonie Context triple: [Anthonie Heinsius, givenName, Anthonie]
-
A.
Anthonie
chosen
Anthonie is a Dutch given name historically borne by notable figures such as statesman Anthonie Heinsius.
-
B.
Nicolaas
Nicolaas is the given name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
-
C.
Frits
Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
-
D.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
E.
Marius de Vries
Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e65720c819087c4022c774ff7c3 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b596516fd88190b8497ccc7efc7f49 |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:05 p.m.