Triple
T21288685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emscher |
E524728
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object |
Boye
Boye is a small river in North Rhine-Westphalia, Germany, that forms part of the Emscher river system in the Ruhr industrial region.
|
E1476264
|
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: Boye | Statement: [Emscher, tributary, Boye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boye Context triple: [Emscher, tributary, Boye]
-
A.
Boye
Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
-
B.
The Boy
The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
-
C.
Olsenboye
Olsenboye is a fashion brand created by Mary-Kate Olsen and Ashley Olsen, known for offering trendy, youth-oriented clothing and accessories.
-
D.
Boyet
Boyet is a witty and perceptive French lord in Shakespeare’s comedy "Love’s Labour’s Lost," serving as an attendant and advisor to the Princess of France.
-
E.
Brother Boy
Brother Boy is a flamboyant, cross-dressing character from the dark comedy franchise "Sordid Lives," known for his over-the-top personality and cult-favorite status.
- 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: Boye Triple: [Emscher, tributary, Boye]
Generated description
Boye is a small river in North Rhine-Westphalia, Germany, that forms part of the Emscher river system in the Ruhr industrial region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boye Target entity description: Boye is a small river in North Rhine-Westphalia, Germany, that forms part of the Emscher river system in the Ruhr industrial region.
-
A.
Boye
Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
-
B.
The Boy
The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
-
C.
Olsenboye
Olsenboye is a fashion brand created by Mary-Kate Olsen and Ashley Olsen, known for offering trendy, youth-oriented clothing and accessories.
-
D.
Boyet
Boyet is a witty and perceptive French lord in Shakespeare’s comedy "Love’s Labour’s Lost," serving as an attendant and advisor to the Princess of France.
-
E.
Brother Boy
Brother Boy is a flamboyant, cross-dressing character from the dark comedy franchise "Sordid Lives," known for his over-the-top personality and cult-favorite status.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d882408190a2300327cb73b7f6 |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980c3fbc8190aefe065a0d6cd8b5 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998a3326481908a4dfddfb7b2ecd9 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09996c8d7c81908cc9874f6e1a3fff |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:03 p.m.