Triple

T29027979
Position Surface form Disambiguated ID Type / Status
Subject Spanisches Liederbuch E737647 entity
Predicate textAdapter P165939 FINISHED
Object Paul Heyse
Paul Heyse was a German writer, translator, and Nobel Prize–winning author known for his novellas, poetry, and influential role in 19th-century German literature.
 E1846434 NE FINISHED

How this triple was built (3 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: Paul Heyse | Statement: [Spanisches Liederbuch, textAdapter, Paul Heyse]
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: Paul Heyse
Triple: [Spanisches Liederbuch, textAdapter, Paul Heyse]
Generated description
Paul Heyse was a German writer, translator, and Nobel Prize–winning author known for his novellas, poetry, and influential role in 19th-century German literature.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: textAdapter
Context triple: [Spanisches Liederbuch, textAdapter, Paul Heyse]
  • A. textMode
    Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
  • B. textModes
    Indicates a relationship where an entity supports or operates in specific textual modes or formats (such as plain text, rich text, or other text-based configurations).
  • C. textColumns
    Indicates that one entity defines or contains the columnar text layout or text columns used or referenced by another entity.
  • D. textBy
    Indicates that a given text or written content was authored or produced by a particular entity.
  • E. textScript
    Indicates the writing system or script in which a given piece of text is expressed.
  • F. None of above. chosen

Provenance (7 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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6600b2ea0819080d54e0400bd3364 completed May 2, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505d58bf48190823f8b06939e92c3 completed June 7, 2026, 5:47 a.m.
NEDg Description generation batch_6a250a0727108190bc085f034870e22e completed June 7, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a250f52bc788190a19327674f832883 completed June 7, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65ad638ac8190a17bb987fce53279 completed May 2, 2026, 8:13 p.m.
Created at: April 28, 2026, 9:53 a.m.