Triple

T17512016
Position Surface form Disambiguated ID Type / Status
Subject Clannad E426472 entity
Predicate notableAlbum P4 FINISHED
Object Lore 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: Lore | Statement: [Clannad, notableAlbum, Lore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lore
Context triple: [Clannad, notableAlbum, Lore]
  • A. Lore
    Lore is a 2012 German drama film set in post-World War II Germany that follows a Nazi officer’s teenage daughter leading her siblings across a devastated country after their parents’ arrest.
  • B. Lore chosen
    Lore is a science fiction podcast and television series created by Ashley Edward Miller that explores dark historical tales and folklore through a narrative, documentary-style format.
  • C. Loot
    Loot is a comedy television series that follows a recently divorced billionaire navigating life, philanthropy, and self-discovery after a highly publicized split.
  • D. The Legend
    The Legend is an album by South African Afro-fusion band Freshlyground that showcases their signature blend of pop, rock, and traditional African musical influences.
  • E. Hinterland
    Hinterland is a scenic inland region of South East Queensland known for its lush rainforests, mountain ranges, and charming rural towns popular with tourists.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525c21c88190a9394c4bce006a38 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.