Triple

T10481593
Position Surface form Disambiguated ID Type / Status
Subject George Barr McCutcheon E247183 entity
Predicate notableWork P4 FINISHED
Object Graustark
Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
E864758 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: Graustark | Statement: [George Barr McCutcheon, notableWork, Graustark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graustark
Context triple: [George Barr McCutcheon, notableWork, Graustark]
  • A. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Hellenstein
    Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
  • C. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • E. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • 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: Graustark
Triple: [George Barr McCutcheon, notableWork, Graustark]
Generated description
Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graustark
Target entity description: Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
  • A. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Hellenstein
    Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
  • C. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • E. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095c5dc88190902582db28df01b4 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03336988190bc1e61126fe576be completed April 10, 2026, 7:01 a.m.
NEDg Description generation batch_69d8a166404881909c28141fefea2936 completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2c550ac81908444c6abfe14698a completed April 10, 2026, 7:12 a.m.
Created at: April 6, 2026, 12:22 p.m.