Triple

T1815467
Position Surface form Disambiguated ID Type / Status
Subject Heinkel He 219 E40425 entity
Predicate nickName P2937 FINISHED
Object 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.
 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: [Heinkel He 219, nickName, Uhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uhu
Context triple: [Heinkel He 219, nickName, Uhu]
  • A. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • B. Essie
    Essie is a popular nail polish and nail care brand known for its wide range of fashion-forward colors and salon-quality formulas.
  • C. Kohl
    Kohl is a German surname most prominently associated with Helmut Kohl, the long-serving Chancellor of Germany who oversaw the country’s reunification.
  • D. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • E. Schwarzkopf
    Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
  • 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: [Heinkel He 219, nickName, Uhu]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uhu
Target entity description: 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.
  • A. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • B. Essie
    Essie is a popular nail polish and nail care brand known for its wide range of fashion-forward colors and salon-quality formulas.
  • C. Kohl
    Kohl is a German surname most prominently associated with Helmut Kohl, the long-serving Chancellor of Germany who oversaw the country’s reunification.
  • D. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • E. Schwarzkopf
    Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f4628481909ca8e4c2302752ac completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc2b4d8a0819080ff41cf73417276 completed March 8, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69adc38732d8819092e0ac76354f08c1 completed March 8, 2026, 6:44 p.m.
Created at: March 4, 2026, 7:32 p.m.