Triple
T27385975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esens |
E691373
|
entity |
| Predicate | coatOfArmsSubject |
P162377
|
FINISHED |
| Object |
Balthasar Oomkens von Esens
Balthasar Oomkens von Esens was a 16th-century Frisian chieftain known for his rule over the town of Esens and his role in the regional power struggles of East Frisia.
|
E1826824
|
NE FINISHED |
How this triple was built (3 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: Balthasar Oomkens von Esens | Statement: [Esens, coatOfArmsSubject, Balthasar Oomkens von Esens]
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: Balthasar Oomkens von Esens Triple: [Esens, coatOfArmsSubject, Balthasar Oomkens von Esens]
Generated description
Balthasar Oomkens von Esens was a 16th-century Frisian chieftain known for his rule over the town of Esens and his role in the regional power struggles of East Frisia.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsSubject Context triple: [Esens, coatOfArmsSubject, Balthasar Oomkens von Esens]
-
A.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
B.
coatOfArmsCaption
Indicates the descriptive text that explains or labels the depicted coat of arms.
-
C.
coatOfArmsType
Indicates the specific kind or category of coat of arms associated with an entity.
-
D.
coatOfArmsOnFlag
Indicates that a flag features or displays a particular coat of arms as part of its design.
-
E.
coatOfArmsVersion
Indicates the specific variant or edition of a coat of arms associated with an entity or context.
- F. None of above. chosen
Provenance (7 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62c8af8508190bf5e40515d5d8f34 |
completed | May 2, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cc3528aec81909fd3cdf2ad74953e |
completed | May 31, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a1cc3c360808190a2961b3e0a3c839f |
completed | May 31, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cc45223488190a914244c6245a86f |
completed | May 31, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 12:24 p.m.