Triple

T4470914
Position Surface form Disambiguated ID Type / Status
Subject Hugo von Hofmannsthal E98492 entity
Predicate notableWork P4 FINISHED
Object Der Turm
Der Turm is a late Expressionist drama by Austrian writer Hugo von Hofmannsthal that reimagines Shakespeare’s "The Tempest" in a dark, politically charged setting.
 E441145 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 Turm | Statement: [Hugo von Hofmannsthal, notableWork, Der Turm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Der Turm
Context triple: [Hugo von Hofmannsthal, notableWork, Der Turm]
  • A. Nieuwe Toren
    Nieuwe Toren is a historic clock and bell tower in the Dutch city of Kampen, known as a prominent landmark in its old town skyline.
  • B. The Tower
    The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
  • C. The Tower
    The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
  • D. The Tower
    The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • E. Das Schloss
    Das Schloss is a prominent shopping mall in Berlin known for its distinctive architecture and wide range of retail and dining options.
  • 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 Turm
Triple: [Hugo von Hofmannsthal, notableWork, Der Turm]
Generated description
Der Turm is a late Expressionist drama by Austrian writer Hugo von Hofmannsthal that reimagines Shakespeare’s "The Tempest" in a dark, politically charged setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Der Turm
Target entity description: Der Turm is a late Expressionist drama by Austrian writer Hugo von Hofmannsthal that reimagines Shakespeare’s "The Tempest" in a dark, politically charged setting.
  • A. Nieuwe Toren
    Nieuwe Toren is a historic clock and bell tower in the Dutch city of Kampen, known as a prominent landmark in its old town skyline.
  • B. The Tower
    The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
  • C. The Tower
    The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
  • D. The Tower
    The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • E. Das Schloss
    Das Schloss is a prominent shopping mall in Berlin known for its distinctive architecture and wide range of retail and dining options.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b6a1f48190a39f5411648c40ff completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628716bd881909bce2ce8803fd4b5 completed March 15, 2026, 3:33 a.m.
NEDg Description generation batch_69b6295627848190a7bb6b8943b0e3f1 completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b629be765c81908c1f6ccfc75604d1 completed March 15, 2026, 3:38 a.m.
Created at: March 12, 2026, 11:35 p.m.