Triple
T17105140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrik Anthony Kramers |
E415079
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kramers |
E415079
|
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: Kramers | Statement: [Hendrik Anthony Kramers, familyName, Kramers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kramers Context triple: [Hendrik Anthony Kramers, familyName, Kramers]
-
A.
Kramers
chosen
Kramers is a Dutch surname most notably associated with physicist Hendrik Anthony Kramers, known for his contributions to quantum mechanics and statistical physics.
-
B.
Kremer
Kremer is the surname of Gidon Kremer, a renowned Latvian-born violinist and conductor known for his interpretations of both classical and contemporary repertoire.
-
C.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
D.
Krenkel
Krenkel is a German-language surname most notably associated with the polar explorer Ernst Krenkel.
-
E.
Krammer
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2683fc81908af2df9012addecb |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ffbe808190a24e827331ee4a6c |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.