Triple

T20140195
Position Surface form Disambiguated ID Type / Status
Subject Uzo Aduba E491142 entity
Predicate familyName P18 FINISHED
Object Aduba 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: Aduba | Statement: [Uzo Aduba, familyName, Aduba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aduba
Context triple: [Uzo Aduba, familyName, Aduba]
  • A. Aduba chosen
    Aduba is the surname of Uzo Aduba, the Emmy Award–winning American actress best known for her role as Suzanne "Crazy Eyes" Warren on the television series "Orange Is the New Black."
  • B. Tabaiba
    Tabaiba is a coastal residential village on the island of Tenerife in Spain’s Canary Islands, known for its seaside setting and proximity to the municipality of El Rosario.
  • C. Ijesha
    Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
  • D. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • E. Adalinda
    Adalinda was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.