Triple

T22588639
Position Surface form Disambiguated ID Type / Status
Subject Doge of the Ligurian Republic E564872 entity
Predicate officeStyle P60739 FINISHED
Object Doge 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: Doge | Statement: [Doge of the Ligurian Republic, officeStyle, Doge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doge
Context triple: [Doge of the Ligurian Republic, officeStyle, Doge]
  • A. Doge chosen
    The Doge was the chief magistrate and leader of the Republic of Venice, serving as a powerful but formally constrained head of state for centuries.
  • B. Dogecoin
    Dogecoin is a cryptocurrency originally created as a meme-based, lighthearted alternative to Bitcoin that has grown into a widely recognized digital asset with an active online community.
  • C. Doggie
    Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
  • D. DDOG
    DDOG is the stock ticker symbol for Datadog, a cloud-based monitoring and analytics platform for IT infrastructure, applications, and logs.
  • E. Kitbull
    Kitbull is a hand-drawn Pixar short film that tenderly explores the unlikely friendship between a stray kitten and an abused pit bull.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615ea5bc8190b7760cd0de9669dd completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:47 p.m.