Triple

T15752532
Position Surface form Disambiguated ID Type / Status
Subject The Nutcracker and the Four Realms E381880 entity
Predicate mainCharacter P1183 FINISHED
Object Clara Stahlbaum E381883 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: Clara Stahlbaum | Statement: [The Nutcracker and the Four Realms, mainCharacter, Clara Stahlbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Stahlbaum
Context triple: [The Nutcracker and the Four Realms, mainCharacter, Clara Stahlbaum]
  • A. Clara Stahlbaum chosen
    Clara Stahlbaum is the young heroine of "The Nutcracker" story, known for her magical Christmas Eve journey into a fantastical world of toy soldiers, mice, and the Sugar Plum Fairy.
  • B. Gretel Walter
    Gretel Walter was the daughter of renowned German-born conductor Bruno Walter.
  • C. Clara Copperfield
    Clara Copperfield is the gentle, naive, and tragically fated mother of the protagonist in Charles Dickens’s novel "David Copperfield."
  • D. Fraulein Schneider
    Fraulein Schneider is a middle-aged German boarding house owner whose conflicted romance and moral choices form one of the central emotional storylines in the musical "Cabaret."
  • E. Rose Bernd
    Rose Bernd is a naturalist drama by Gerhart Hauptmann that portrays the tragic fate of a young peasant woman caught in social and moral conflicts.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876f005c8190913dec49b839b9f9 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.