Triple
T19062875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Darling of Roulanish |
E466579
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object |
Roulanish
Roulanish is a place in the United Kingdom notable for lending its name to the noble title Baron Darling of Roulanish.
|
E1357543
|
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: Roulanish | Statement: [Baron Darling of Roulanish, namedFor, Roulanish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roulanish Context triple: [Baron Darling of Roulanish, namedFor, Roulanish]
-
A.
Rütschelen
Rütschelen is a small municipality in the canton of Bern in Switzerland.
-
B.
Röllingsen
Röllingsen is a village-level locality that forms part of the town of Soest in North Rhine-Westphalia, Germany.
-
C.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
D.
Randoni
Randoni is a supporting character in the 1973 French-Italian comedy-crime film "L'Emmerdeur," involved in the story’s web of hitmen, misunderstandings, and farcical complications.
-
E.
Schussen
The Schussen is a river in the German state of Baden-Württemberg that flows through the Upper Swabia region before emptying into Lake Constance.
- 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: Roulanish Triple: [Baron Darling of Roulanish, namedFor, Roulanish]
Generated description
Roulanish is a place in the United Kingdom notable for lending its name to the noble title Baron Darling of Roulanish.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roulanish Target entity description: Roulanish is a place in the United Kingdom notable for lending its name to the noble title Baron Darling of Roulanish.
-
A.
Rütschelen
Rütschelen is a small municipality in the canton of Bern in Switzerland.
-
B.
Röllingsen
Röllingsen is a village-level locality that forms part of the town of Soest in North Rhine-Westphalia, Germany.
-
C.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
D.
Randoni
Randoni is a supporting character in the 1973 French-Italian comedy-crime film "L'Emmerdeur," involved in the story’s web of hitmen, misunderstandings, and farcical complications.
-
E.
Schussen
The Schussen is a river in the German state of Baden-Württemberg that flows through the Upper Swabia region before emptying into Lake Constance.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e195ac048190a57b57e585d022d4 |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d3569e5881909b6493ce9ac447a5 |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d5c28a708190bf31c547522380db |
completed | May 14, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d74b87048190b02383d4c0769c2d |
completed | May 14, 2026, 2:08 p.m. |
Created at: April 10, 2026, 12:03 p.m.