Triple
T6641965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambert Reynst |
E150606
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Reynst |
E150606
|
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: Reynst | Statement: [Lambert Reynst, familyName, Reynst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynst Context triple: [Lambert Reynst, familyName, Reynst]
-
A.
Reynst
chosen
Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
-
B.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
C.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
D.
Rennebu
Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
-
E.
Kraanerg
Kraanerg is a large-scale avant-garde work for orchestra and tape by Iannis Xenakis, known for its complex rhythms, dense textures, and integration of electronic sound.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff5da8881909a512c1c82eb882a |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7006ef73081909fd9081a9184ecd0 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 2 p.m.