Triple

T11185309
Position Surface form Disambiguated ID Type / Status
Subject Maschinenkarabiner 42(H) E264650 entity
Predicate designedBy P184 FINISHED
Object Haenel
Haenel is a German firearms manufacturer best known for developing early assault rifle designs and other military small arms.
E910268 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: Haenel | Statement: [Maschinenkarabiner 42(H), designedBy, Haenel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haenel
Context triple: [Maschinenkarabiner 42(H), designedBy, Haenel]
  • A. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • B. Lammer
    The Lammer is a river in the Austrian state of Salzburg, known for its clear waters and popularity for kayaking and rafting before joining the Salzach River.
  • C. Sperrle
    Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
  • D. Eisenhauer
    Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
  • E. Heiko
    Heiko is a given name of German origin, commonly used as a masculine first name.
  • 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: Haenel
Triple: [Maschinenkarabiner 42(H), designedBy, Haenel]
Generated description
Haenel is a German firearms manufacturer best known for developing early assault rifle designs and other military small arms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haenel
Target entity description: Haenel is a German firearms manufacturer best known for developing early assault rifle designs and other military small arms.
  • A. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • B. Lammer
    The Lammer is a river in the Austrian state of Salzburg, known for its clear waters and popularity for kayaking and rafting before joining the Salzach River.
  • C. Sperrle
    Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
  • D. Eisenhauer
    Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
  • E. Heiko
    Heiko is a given name of German origin, commonly used as a masculine first name.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8abbeac8190ad6e419258999f4e completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483d0f4548190b97c7725a9f7c0e6 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e48717c35481908fb05597084167e7 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e48875faa88190af33654e6d9a708b completed April 19, 2026, 7:47 a.m.
Created at: April 8, 2026, 9:29 p.m.