Triple

T18538101
Position Surface form Disambiguated ID Type / Status
Subject Wonder Park E453017 entity
Predicate mainCharacter P1183 FINISHED
Object Greta 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: Greta | Statement: [Wonder Park, mainCharacter, Greta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta
Context triple: [Wonder Park, mainCharacter, Greta]
  • A. Greta
    Greta is a small town located within the Hunter Region of New South Wales, Australia.
  • B. Greta chosen
    Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
  • C. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • D. Greta Lundgren
    Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
  • E. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534030bd88190b25b95305a12a0c1 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.