Triple
T11607473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elisabeth Eybers |
E275299
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Einder
Einder is a notable literary work by the acclaimed Afrikaans poet Elisabeth Eybers.
|
E936451
|
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: Einder | Statement: [Elisabeth Eybers, notableWork, Einder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Einder Context triple: [Elisabeth Eybers, notableWork, Einder]
-
A.
Eggel
Eggel is a small river in Germany that serves as a tributary of the Diemel.
-
B.
Woensel
Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
-
C.
Boontling
Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
-
D.
Bantoid
Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
-
E.
Kudelstaart
Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
- 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: Einder Triple: [Elisabeth Eybers, notableWork, Einder]
Generated description
Einder is a notable literary work by the acclaimed Afrikaans poet Elisabeth Eybers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Einder Target entity description: Einder is a notable literary work by the acclaimed Afrikaans poet Elisabeth Eybers.
-
A.
Eggel
Eggel is a small river in Germany that serves as a tributary of the Diemel.
-
B.
Woensel
Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
-
C.
Boontling
Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
-
D.
Bantoid
Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
-
E.
Kudelstaart
Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89551649c81908096ff392677442d |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a82381708190aa0e674603d5778a |
completed | April 22, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69e8af9665648190b7732076aa129671 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b3a3720819095a4a87176e052cb |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.