Triple
T4243039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frits Zernike |
E95460
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Frits |
E351549
|
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: Frits | Statement: [Frits Zernike, givenName, Frits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frits Context triple: [Frits Zernike, givenName, Frits]
-
A.
Frits
chosen
Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
-
B.
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.
-
C.
Martin Rythovius
Martin Rythovius was a 16th-century Roman Catholic bishop known for his leadership of the Diocese of Ypres during the turbulent period of the Reformation in the Habsburg Netherlands.
-
D.
Fritz ter Meer
Fritz ter Meer was a German chemist, industrialist, and Nazi-era executive who served as a leading figure at IG Farben and was later convicted at the Nuremberg Trials for his role in war crimes.
-
E.
Victor Francen
Victor Francen was a Belgian-born French actor known for his distinguished presence in European and Hollywood films of the 1930s and 1940s.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8a676c8190ac2cb59e62613dd9 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b779a93081909af1abdf664f040f |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.