Triple

T20535479
Position Surface form Disambiguated ID Type / Status
Subject Galgenlieder E504183 entity
Predicate hasNotablePoem P21160 FINISHED
Object Der Lattenzaun
Der Lattenzaun is a famous humorous nonsense poem by Christian Morgenstern, featured in his collection "Galgenlieder."
E1437865 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: Der Lattenzaun | Statement: [Galgenlieder, hasNotablePoem, Der Lattenzaun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Der Lattenzaun
Context triple: [Galgenlieder, hasNotablePoem, Der Lattenzaun]
  • A. The Fence
    The Fence is a documentary film by Rory Kennedy that critically examines the impact and effectiveness of the U.S.–Mexico border fence.
  • B. La barraca
    La barraca is a naturalist novel by Spanish writer Vicente Blasco Ibáñez that portrays the harsh rural life and social conflicts of Valencian peasants.
  • C. The Fenced Land
    The Fenced Land is the Sindarin name for Doriath, the magically guarded woodland kingdom of Thingol and Melian in J.R.R. Tolkien’s legendarium.
  • D. The Hunting
    The Hunting is an Australian television drama series that explores the impact of teenage sexting scandals on students, families, and teachers.
  • E. Płoty
    Płoty is a small historic town in northwestern Poland, known for its medieval castle and location in the West Pomeranian Voivodeship.
  • 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: Der Lattenzaun
Triple: [Galgenlieder, hasNotablePoem, Der Lattenzaun]
Generated description
Der Lattenzaun is a famous humorous nonsense poem by Christian Morgenstern, featured in his collection "Galgenlieder."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Der Lattenzaun
Target entity description: Der Lattenzaun is a famous humorous nonsense poem by Christian Morgenstern, featured in his collection "Galgenlieder."
  • A. The Fence
    The Fence is a documentary film by Rory Kennedy that critically examines the impact and effectiveness of the U.S.–Mexico border fence.
  • B. La barraca
    La barraca is a naturalist novel by Spanish writer Vicente Blasco Ibáñez that portrays the harsh rural life and social conflicts of Valencian peasants.
  • C. The Fenced Land
    The Fenced Land is the Sindarin name for Doriath, the magically guarded woodland kingdom of Thingol and Melian in J.R.R. Tolkien’s legendarium.
  • D. The Hunting
    The Hunting is an Australian television drama series that explores the impact of teenage sexting scandals on students, families, and teachers.
  • E. Płoty
    Płoty is a small historic town in northwestern Poland, known for its medieval castle and location in the West Pomeranian Voivodeship.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06ed3088190bd01a95672b01ad6 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a5638f688190b74c79fcb506a24d completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a9459444819089c180ede20cc100 completed May 16, 2026, 5:28 p.m.
NED2 Entity disambiguation (via description) batch_6a08a9c8ae4c8190951fb838bd8c5e91 completed May 16, 2026, 5:30 p.m.
Created at: April 16, 2026, 11:37 a.m.