Triple
T4557910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godert de Ginkell |
E120523
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Godert
Godert is a masculine given name of Dutch origin, historically borne by several notable figures including military and noble leaders.
|
E453152
|
NE FINISHED |
How this triple was built (4 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: Godert | Statement: [Godert de Ginkell, givenName, Godert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godert Context triple: [Godert de Ginkell, givenName, Godert]
-
A.
Gjende
Gjende is a long, narrow glacial lake in Norway’s Jotunheimen mountains, renowned for its striking turquoise-green water and popular hiking routes along its shores.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Vatteluttu
Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
-
D.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
E.
Kortgene
Kortgene is a small town in the Dutch province of Zeeland, known as an administrative and recreational center on the island of Noord-Beveland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Godert Triple: [Godert de Ginkell, givenName, Godert]
Generated description
Godert is a masculine given name of Dutch origin, historically borne by several notable figures including military and noble leaders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Godert Target entity description: Godert is a masculine given name of Dutch origin, historically borne by several notable figures including military and noble leaders.
-
A.
Gjende
Gjende is a long, narrow glacial lake in Norway’s Jotunheimen mountains, renowned for its striking turquoise-green water and popular hiking routes along its shores.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Vatteluttu
Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
-
D.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
E.
Kortgene
Kortgene is a small town in the Dutch province of Zeeland, known as an administrative and recreational center on the island of Noord-Beveland.
- F. None of above. chosen
Provenance (5 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58163e6081909d5a3aae12c42a00 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc58c3fb08190ae1bc599d53e6e76 |
completed | March 20, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69bdc975c07c8190b506bf8ece290739 |
completed | March 20, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc9f824a081909df0ae6d89fc8448 |
completed | March 20, 2026, 10:28 p.m. |
Created at: March 20, 2026, 1:09 p.m.