Triple

T17131177
Position Surface form Disambiguated ID Type / Status
Subject Juno E415723 entity
Predicate child P120 FINISHED
Object Lucina E356168 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: Lucina | Statement: [Juno, child, Lucina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucina
Context triple: [Juno, child, Lucina]
  • A. Lucina chosen
    Lucina is a woman known primarily as the mother of the Western Roman Emperor Anthemius.
  • B. Lucina
    Lucina is a central protagonist and time-traveling princess from the Fire Emblem series, best known for her masked identity "Marth" and pivotal role in Fire Emblem Awakening.
  • C. Lina
    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.
  • D. Lina
    Lina is one of the four main playable characters in the Japanese video game *Yume Kōjō: Doki Doki Panic*, which later served as the basis for *Super Mario Bros. 2* in the West.
  • E. Lina
    Lina is a female lion character who serves as one of the official mascots for the Japanese professional baseball team Saitama Seibu Lions.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02a9fbc81909d820d29417aa55c completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414cd5d481908d11eb230d2283cd completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.