Triple

T3971276
Position Surface form Disambiguated ID Type / Status
Subject Murder on the Orient Express E92339 entity
Predicate containsCharacter P5716 FINISHED
Object Countess Andrenyi
Countess Andrenyi is a refined and enigmatic Hungarian noblewoman who becomes a key suspect in Agatha Christie’s classic detective novel "Murder on the Orient Express."
E404551 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: Countess Andrenyi | Statement: [Murder on the Orient Express, containsCharacter, Countess Andrenyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Countess Andrenyi
Context triple: [Murder on the Orient Express, containsCharacter, Countess Andrenyi]
  • A. Countess of Biesterfeld
    Countess of Biesterfeld is a noble title historically associated with the German aristocracy and notably borne by Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
  • B. Countess Margaretha of Holstein-Sonderburg
    Countess Margaretha of Holstein-Sonderburg was a 17th-century German noblewoman from the ducal House of Holstein-Sonderburg who became the wife of Dutch colonial governor and military leader Johan Maurits van Nassau-Siegen.
  • C. Countess Agnes of Sayn-Wittgenstein
    Countess Agnes of Sayn-Wittgenstein was a German noblewoman of the House of Sayn-Wittgenstein and the mother of Amalia of Solms-Braunfels, who became a prominent princess of Orange.
  • D. Countess of Stolberg
    The Countess of Stolberg, Juliana of Stolberg, was a 16th-century German noblewoman best known as the mother of William the Silent and a key matriarch of the House of Orange-Nassau.
  • E. Countess Natalia Brasova
    Countess Natalia Brasova was a Russian noblewoman best known as the morganatic wife of Grand Duke Michael Alexandrovich, the younger brother of Tsar Nicholas II, whose controversial marriage contributed to their political and social marginalization in the final years of the Russian Empire.
  • 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: Countess Andrenyi
Triple: [Murder on the Orient Express, containsCharacter, Countess Andrenyi]
Generated description
Countess Andrenyi is a refined and enigmatic Hungarian noblewoman who becomes a key suspect in Agatha Christie’s classic detective novel "Murder on the Orient Express."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Countess Andrenyi
Target entity description: Countess Andrenyi is a refined and enigmatic Hungarian noblewoman who becomes a key suspect in Agatha Christie’s classic detective novel "Murder on the Orient Express."
  • A. Countess of Biesterfeld
    Countess of Biesterfeld is a noble title historically associated with the German aristocracy and notably borne by Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
  • B. Countess Margaretha of Holstein-Sonderburg
    Countess Margaretha of Holstein-Sonderburg was a 17th-century German noblewoman from the ducal House of Holstein-Sonderburg who became the wife of Dutch colonial governor and military leader Johan Maurits van Nassau-Siegen.
  • C. Countess Agnes of Sayn-Wittgenstein
    Countess Agnes of Sayn-Wittgenstein was a German noblewoman of the House of Sayn-Wittgenstein and the mother of Amalia of Solms-Braunfels, who became a prominent princess of Orange.
  • D. Countess of Stolberg
    The Countess of Stolberg, Juliana of Stolberg, was a 16th-century German noblewoman best known as the mother of William the Silent and a key matriarch of the House of Orange-Nassau.
  • E. Countess Natalia Brasova
    Countess Natalia Brasova was a Russian noblewoman best known as the morganatic wife of Grand Duke Michael Alexandrovich, the younger brother of Tsar Nicholas II, whose controversial marriage contributed to their political and social marginalization in the final years of the Russian Empire.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400b75d081909b8e4840b15d19f1 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540eb53788190aa281ee38edc1729 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541a55cb081909ec1f87a7553b6f2 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:32 p.m.