Triple

T9130973
Position Surface form Disambiguated ID Type / Status
Subject Wakanda E219083 entity
Predicate associatedCharacter P12208 FINISHED
Object Nakia E229436 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: Nakia | Statement: [Wakanda, associatedCharacter, Nakia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakia
Context triple: [Wakanda, associatedCharacter, Nakia]
  • A. Nakia chosen
    Nakia is a skilled Wakandan spy and warrior in the Marvel Cinematic Universe, known for her courage, compassion, and close ties to T’Challa and Wakanda.
  • B. Nakia
    Nakia is a 1970s American television drama series centered on a Native American deputy sheriff navigating crime and cultural tensions in a small New Mexico town.
  • C. Dameisha
    Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
  • D. Honor Carter
    Honor Carter is a New Zealand field hockey player and former Black Sticks Women representative who is also known as the wife of rugby legend Dan Carter.
  • E. Valerie Barksdale
    Valerie Barksdale is a central character in the supernatural thriller film "The Gift," whose troubled past and abusive relationship drive much of the story’s tension and mystery.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047cf8f408190bfffadb803cb4513 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:18 p.m.