Triple

T11773997
Position Surface form Disambiguated ID Type / Status
Subject Bear in the Big Blue House E279969 entity
Predicate featuresCharacter P626 FINISHED
Object Ojo E670613 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: Ojo | Statement: [Bear in the Big Blue House, featuresCharacter, Ojo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ojo
Context triple: [Bear in the Big Blue House, featuresCharacter, Ojo]
  • A. Ojo chosen
    Ojo is a central character in L. Frank Baum’s Oz series, notably a Munchkin boy whose quest drives the plot of "The Patchwork Girl of Oz."
  • B. Ilesa
    Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
  • C. Oyo Town
    Oyo Town is a historic Yoruba city in southwestern Nigeria that once served as the political and cultural center of the Oyo Empire.
  • D. Ikare-Akoko
    Ikare-Akoko is a major commercial and cultural town in southwestern Nigeria, serving as one of the key urban centers in the Akoko region.
  • E. Ogbomoso
    Ogbomoso is a major Yoruba city in southwestern Nigeria known for its agricultural trade, historic role in regional wars, and vibrant cultural heritage.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0909969e481908d836f912b5af5bf completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.