Triple

T7680443
Position Surface form Disambiguated ID Type / Status
Subject The Emerald City of Oz E173977 entity
Predicate mainCharacter P1183 FINISHED
Object Nome King E161152 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: Nome King | Statement: [The Emerald City of Oz, mainCharacter, Nome King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nome King
Context triple: [The Emerald City of Oz, mainCharacter, Nome King]
  • A. Nome King chosen
    The Nome King is a powerful and malevolent ruler of the underground Nomes in L. Frank Baum’s Oz series, known for his antagonism toward the Emerald City and its inhabitants.
  • B. King
    King is a prominent video game company best known for creating the massively popular mobile puzzle game Candy Crush Saga.
  • C. King
    King is a British Christian rock and worship band known for its energetic live performances and faith-centered lyrics.
  • D. King
    The King of Norway is the constitutional monarch and ceremonial head of state in Norway’s parliamentary system.
  • E. King
    King is a regal title traditionally denoting a male sovereign ruler of a kingdom, often associated with supreme authority and hereditary monarchy.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701ffc1fc8190bc9c2b1f3bb37f0d completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a24de3a48190a92009b6092b09d0 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.