Triple

T15008040
Position Surface form Disambiguated ID Type / Status
Subject Emerald City E377758 entity
Predicate isPartOfFranchise P7740 FINISHED
Object Oz franchise E239326 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: Oz franchise | Statement: [Emerald City, isPartOfFranchise, Oz franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz franchise
Context triple: [Emerald City, isPartOfFranchise, Oz franchise]
  • A. Oz book series chosen
    The Oz book series is a classic collection of American children's fantasy novels set in the magical Land of Oz, best known for introducing characters like Dorothy, the Scarecrow, the Tin Woodman, and the Cowardly Lion.
  • B. Oz
    Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
  • C. Oz
    Oz is a tree-lined, expert-focused peak and trail pod at Maine’s Sunday River ski resort, known for its challenging terrain and glade skiing.
  • D. Oz
    Oz is a common diminutive or nickname for the given name Oswald.
  • E. Oz
    Oz is the magical land at the center of L. Frank Baum’s classic “Wizard of Oz” stories, inhabited by diverse fantastical peoples and creatures.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.