Triple

T4968741
Position Surface form Disambiguated ID Type / Status
Subject Rebekka Vaark E111590 entity
Predicate relationshipWith P10260 FINISHED
Object Lina E109668 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: Lina | Statement: [Rebekka Vaark, relationshipWith, Lina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lina
Context triple: [Rebekka Vaark, relationshipWith, Lina]
  • A. Lina chosen
    Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
  • B. Lina
    Lina Heydrich was the wife of high-ranking Nazi official Reinhard Heydrich and a committed supporter of National Socialism in Germany.
  • C. Lucina
    Lucina is a woman known primarily as the mother of the Western Roman Emperor Anthemius.
  • D. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • E. D'Lila
    D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7210c8f081908e36595a12d07f64 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f749fc8190ad4dc68f7e2086b1 completed March 21, 2026, 11:33 a.m.
Created at: March 20, 2026, 1:32 p.m.