Triple

T4811003
Position Surface form Disambiguated ID Type / Status
Subject The Queen of Spades E107067 entity
Predicate principalCharacter P9202 FINISHED
Object Hermann
Hermann is the obsessive, tormented protagonist of Alexander Pushkin’s novella "The Queen of Spades," whose fixation on a secret winning card formula leads to his psychological and moral downfall.
E483209 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: Hermann | Statement: [The Queen of Spades, principalCharacter, Hermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann
Context triple: [The Queen of Spades, principalCharacter, Hermann]
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Helmuth
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • 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: Hermann
Triple: [The Queen of Spades, principalCharacter, Hermann]
Generated description
Hermann is the obsessive, tormented protagonist of Alexander Pushkin’s novella "The Queen of Spades," whose fixation on a secret winning card formula leads to his psychological and moral downfall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hermann
Target entity description: Hermann is the obsessive, tormented protagonist of Alexander Pushkin’s novella "The Queen of Spades," whose fixation on a secret winning card formula leads to his psychological and moral downfall.
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Helmuth
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c7b879081908e0c92a67422906e completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81ad41848190bb86aee50b33ca75 completed March 21, 2026, 11:31 a.m.
NEDg Description generation batch_69be82dcc280819098eac824370b1af0 completed March 21, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69be8349507481908643591de7f03f42 completed March 21, 2026, 11:38 a.m.
Created at: March 20, 2026, 1:23 p.m.