Triple
T12246965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Forel |
E291874
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Yvorne
Yvorne is a small municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic Alpine surroundings.
|
E976022
|
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: Yvorne | Statement: [August Forel, placeOfDeath, Yvorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvorne Context triple: [August Forel, placeOfDeath, Yvorne]
-
A.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
B.
Arvegil
Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
-
C.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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: Yvorne Triple: [August Forel, placeOfDeath, Yvorne]
Generated description
Yvorne is a small municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic Alpine surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yvorne Target entity description: Yvorne is a small municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic Alpine surroundings.
-
A.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
B.
Arvegil
Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
-
C.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb893a08190bbdfcb23082b8f34 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e620ed88190b46d256ebe994714 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622a646c481908164ae5387625bb4 |
completed | May 2, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623fbb32081909b7daa515eebf75d |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:51 p.m.