Triple

T21312211
Position Surface form Disambiguated ID Type / Status
Subject Philippe Hugon E525368 entity
Predicate appearsIn P795 FINISHED
Object Nana (manga) 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: Nana (manga) | Statement: [Philippe Hugon, appearsIn, Nana (manga)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nana (manga)
Context triple: [Philippe Hugon, appearsIn, Nana (manga)]
  • A. Nana (manga) chosen
    Nana is a popular Japanese manga series by Ai Yazawa that follows the intertwined lives and careers of two young women, both named Nana, as they navigate love, friendship, and the Tokyo music scene.
  • B. Nana (novel)
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan whose destructive allure exposes the moral decay of Second Empire society.
  • C. Nanikai
    Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
  • D. Nana Mama
    Nana Mama is Alex Cross’s wise, strong-willed grandmother and primary caregiver, known for her moral backbone and nurturing presence throughout the Alex Cross crime novel series.
  • E. Naniwanishi
    Naniwanishi is a major urban district within Osaka's Naniwa Ward, known for its dense cityscape and local commercial activity.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dca66ac8190a5f0a372a9bc25a7 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:22 p.m.