Triple
T1514674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrik Petrus Berlage |
E32092
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hendrik |
E104689
|
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: Hendrik | Statement: [Hendrik Petrus Berlage, givenName, Hendrik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hendrik Context triple: [Hendrik Petrus Berlage, givenName, Hendrik]
-
A.
Hendrik
chosen
Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
-
B.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
C.
Johan Evertsen
Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
-
D.
Nicolaas
Nicolaas is the given name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
-
E.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907da75388190bfbdbedbd46adbdc |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad23429f1c81909f435030de687675 |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:26 p.m.