Triple
T14399328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonaert Bramer |
E357028
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Nestelghat |
E357028
|
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: Nestelghat | Statement: [Leonaert Bramer, hasNickname, Nestelghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nestelghat Context triple: [Leonaert Bramer, hasNickname, Nestelghat]
-
A.
Nestelghat
chosen
Nestelghat was the nickname (bent-name) used by the Dutch Golden Age painter Leonaert Bramer within the Bentvueghels artists’ society in Rome.
-
B.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
-
C.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
D.
Waghala
Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
-
E.
Laghée
Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551eb09c8190a102ab452371e5b1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.