Triple

T15246235
Position Surface form Disambiguated ID Type / Status
Subject Nana Coupeau E364389 entity
Predicate appearsIn P795 FINISHED
Object Nana E70011 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: Nana | Statement: [Nana Coupeau, appearsIn, Nana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nana
Context triple: [Nana Coupeau, appearsIn, Nana]
  • A. Nana chosen
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
  • B. Nana
    Nana is a figure in Phrygian mythology, often regarded as the mother of the vegetation god Attis and associated with themes of miraculous birth and fertility.
  • C. Nana
    Nana was a prominent Chiricahua Apache war leader who fought alongside Geronimo in resistance to U.S. and Mexican military forces in the late 19th century.
  • D. Nana
    Nana is a common Akan given name in Ghana, often used as a title of respect and borne by various notable figures including political leaders.
  • E. Nana
    Nana is an Indian honorific title commonly used to respectfully address an elder man or grandfather.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.