Triple

T12299986
Position Surface form Disambiguated ID Type / Status
Subject Lampwick E293192 entity
Predicate creator P184 FINISHED
Object Carlo Collodi E195702 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: Carlo Collodi | Statement: [Lampwick, creator, Carlo Collodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Collodi
Context triple: [Lampwick, creator, Carlo Collodi]
  • A. Carlo Collodi chosen
    Carlo Collodi was an Italian author best known for writing the classic children's novel "The Adventures of Pinocchio."
  • B. Johanna Spyri
    Johanna Spyri was a Swiss author best known for her classic children's novel "Heidi," one of the most famous works of children's literature worldwide.
  • C. Erich Kästner
    Erich Kästner was a German author and poet best known for his witty, socially critical children’s books such as "Emil and the Detectives" and his satirical writings during the Weimar Republic.
  • D. Hans Christian Andersen
    Hans Christian Andersen was a 19th-century Danish author best known worldwide for his enduring fairy tales such as "The Little Mermaid," "The Ugly Duckling," and "The Snow Queen."
  • E. L. Frank Baum
    L. Frank Baum was an American author best known for creating the beloved Oz series of children's fantasy novels.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8cf0e8819088f5ee03495bbf61 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:53 p.m.