Triple
T4233031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Heinsius |
E94624
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Heinsius |
E94624
|
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: Heinsius | Statement: [Daniel Heinsius, familyName, Heinsius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heinsius Context triple: [Daniel Heinsius, familyName, Heinsius]
-
A.
Heinsius
chosen
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
B.
Finsch
Finsch is the authority who first formally described the Fiordland crested penguin in the scientific literature.
-
C.
de Heister
De Heister is a German noble family name historically associated with military officers and aristocrats, including the Hessian general Leopold Philip de Heister.
-
D.
Ozinga
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
-
E.
Nitibe
Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
- 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_69b5b77632d08190ab7c12986e2cee61 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.