Triple
T21601824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlene Tromp |
E533060
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tromp |
—
|
NE NERFINISHED |
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: Tromp | Statement: [Marlene Tromp, familyName, Tromp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tromp Context triple: [Marlene Tromp, familyName, Tromp]
-
A.
Tromp
chosen
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
B.
Fiez
Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
-
C.
Trumpan
Trumpan is a small historic settlement on the Waternish peninsula of the Isle of Skye in Scotland, known for the ruins of Trumpan Church and its tragic 16th-century massacre.
-
D.
Dukawa
Dukawa are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi and Niger States and known for their distinct language and traditional agrarian lifestyle.
-
E.
Tettamanzi
Tettamanzi is an Italian surname most notably associated with Cardinal Dionigi Tettamanzi, a prominent figure in the Roman Catholic Church.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e247588190a57f27ba04f4f21a |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.