Triple
T9087196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigrid Kaag |
E217788
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sigrid Kaag |
E217788
|
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: Sigrid Kaag | Statement: [Sigrid Kaag, name, Sigrid Kaag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigrid Kaag Context triple: [Sigrid Kaag, name, Sigrid Kaag]
-
A.
Sigrid Kaag
chosen
Sigrid Kaag is a Dutch diplomat-turned-politician and D66 leader known for her senior roles in both national government and international organizations, including the United Nations.
-
B.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
C.
Johanna Geilus
Johanna Geilus was the wife of Austrian journalist and politician Fritz Austerlitz.
-
D.
Judith Holste
Judith Holste is a German costume designer best known as the long-term partner and wife of acclaimed actor Christoph Waltz.
-
E.
Emily Damstra
Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965646408190b041ab0e2d5dbc94 |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017c893fc819087d18db2383b9bb4 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:13 p.m.