Triple
T13496687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth (German) |
E320779
|
entity |
| Predicate | sharesOriginWith |
P3438
|
FINISHED |
| Object |
Rot (surname)
Rot is a German-language surname closely related in origin to the more common surname Roth.
|
E1042133
|
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: Rot (surname) | Statement: [Roth (German), sharesOriginWith, Rot (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rot (surname) Context triple: [Roth (German), sharesOriginWith, Rot (surname)]
-
A.
Roat
Roat is the menacing criminal mastermind and primary antagonist in the thriller film "Wait Until Dark."
-
B.
Rott
Rott is a river in southeastern Germany that flows through the town of Pfarrkirchen in the state of Bavaria.
-
C.
Roet
Roet is the surname of a medieval English family best known for Philippa Roet, wife of the poet Geoffrey Chaucer, and her sister Katherine Swynford, later Duchess of Lancaster.
-
D.
Rot an der Rot
Rot an der Rot is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its historic monastery and rural setting.
-
E.
Rollot
Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
- 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: Rot (surname) Triple: [Roth (German), sharesOriginWith, Rot (surname)]
Generated description
Rot is a German-language surname closely related in origin to the more common surname Roth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rot (surname) Target entity description: Rot is a German-language surname closely related in origin to the more common surname Roth.
-
A.
Roat
Roat is the menacing criminal mastermind and primary antagonist in the thriller film "Wait Until Dark."
-
B.
Rott
Rott is a river in southeastern Germany that flows through the town of Pfarrkirchen in the state of Bavaria.
-
C.
Roet
Roet is the surname of a medieval English family best known for Philippa Roet, wife of the poet Geoffrey Chaucer, and her sister Katherine Swynford, later Duchess of Lancaster.
-
D.
Rot an der Rot
Rot an der Rot is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its historic monastery and rural setting.
-
E.
Rollot
Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7464125988190b26390669241cc20 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74bd2880881909dcc3b1ec72cb3a0 |
completed | May 3, 2026, 1:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74c616a788190804ae648001f58b8 |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 9, 2026, 9:43 p.m.