Triple

T16649044
Position Surface form Disambiguated ID Type / Status
Subject Murder in the Calais Coach E404553 entity
Predicate hasCharacter P2308 FINISHED
Object Count Andrenyi E404550 NE FINISHED

How this triple was built (2 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: Count Andrenyi | Statement: [Murder in the Calais Coach, hasCharacter, Count Andrenyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count Andrenyi
Context triple: [Murder in the Calais Coach, hasCharacter, Count Andrenyi]
  • A. Count Andrenyi chosen
    Count Andrenyi is a fictional Hungarian nobleman and one of the key suspects in Agatha Christie's classic Hercule Poirot detective novel "Murder on the Orient Express."
  • B. Andro Steinborn
    Andro Steinborn is a film producer best known for his work on the psychological thriller "Funny Games U.S."
  • C. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • D. Andrei Sator
    Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
  • E. André Heinz
    André Heinz is an American environmentalist and venture capitalist known for his work in sustainable investment and as the son of philanthropist Teresa Heinz and the late Senator John Heinz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad794388190b2817d2ec5ff0de0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2f1da48190a1a01dbe25f8f0e9 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.