Triple
T17973955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fw 189 series |
E449415
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Uhu
Uhu was the German nickname for the Focke-Wulf Fw 189, a World War II twin-engine reconnaissance and army cooperation aircraft known for its distinctive twin-boom design and excellent visibility.
|
E204421
|
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: Uhu | Statement: [Fw 189 series, nickname, Uhu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uhu Context triple: [Fw 189 series, nickname, Uhu]
-
A.
Uhu
Uhu was the nickname of the Heinkel He 219, a German World War II night fighter aircraft notable for its advanced radar and effectiveness against Allied bombers.
-
B.
Benetint
Benetint is a cult-favorite rose-tinted lip and cheek stain from Benefit Cosmetics known for its sheer, long-lasting, natural-looking flush.
-
C.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
D.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
E.
Bostik
Bostik is a global adhesive and sealant manufacturer known for its products used in construction, industrial, and consumer markets.
- 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: Uhu Triple: [Fw 189 series, nickname, Uhu]
Generated description
Uhu was the German nickname for the Focke-Wulf Fw 189, a World War II twin-engine reconnaissance and army cooperation aircraft known for its distinctive twin-boom design and excellent visibility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uhu Target entity description: Uhu was the German nickname for the Focke-Wulf Fw 189, a World War II twin-engine reconnaissance and army cooperation aircraft known for its distinctive twin-boom design and excellent visibility.
-
A.
Uhu
chosen
Uhu was the nickname of the Heinkel He 219, a German World War II night fighter aircraft notable for its advanced radar and effectiveness against Allied bombers.
-
B.
Benetint
Benetint is a cult-favorite rose-tinted lip and cheek stain from Benefit Cosmetics known for its sheer, long-lasting, natural-looking flush.
-
C.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
D.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
E.
Bostik
Bostik is a global adhesive and sealant manufacturer known for its products used in construction, industrial, and consumer markets.
- F. None of above.
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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fe24808190baa11739f4d1095f |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03301821088190802834bfa3ddf2d7 |
completed | May 12, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0332130f108190a3fbcf146ecd9d81 |
completed | May 12, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0333605db48190a7195d65ea4ad047 |
completed | May 12, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:22 a.m.