Triple

T20184794
Position Surface form Disambiguated ID Type / Status
Subject John Sigismund E492825 entity
Predicate nobleTitle P914 FINISHED
Object Count of Mark NE NERFINISHED

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 of Mark | Statement: [John Sigismund, nobleTitle, Count of Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Mark
Context triple: [John Sigismund, nobleTitle, Count of Mark]
  • A. Count of Mark chosen
    Count of Mark was a historic noble title associated with the County of Mark in the Holy Roman Empire, often held by rulers who also governed larger German principalities such as Brandenburg and Prussia.
  • B. The Mark
    The Mark is a 1961 psychological drama film starring Stuart Whitman as a man struggling with his past as a convicted child molester while attempting to rebuild his life.
  • C. The Mark
    The Mark is a 2003 thriller film about a man who becomes the target of a deadly conspiracy after waking up with a mysterious mark on his arm.
  • D. the Mark
    The Mark, also known as Rohan, is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, famed for its cavalry and alliance with Gondor.
  • E. Mark of Esteem
    Mark of Esteem was a top-class British Thoroughbred racehorse best known for winning major mile races such as the 2000 Guineas and the Queen Elizabeth II Stakes in the mid-1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f199688190a42094cce220f6f2 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.