Triple

T12105243
Position Surface form Disambiguated ID Type / Status
Subject Children of Eden E288284 entity
Predicate centralCharacter P9202 FINISHED
Object Mama Noah E609441 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: Mama Noah | Statement: [Children of Eden, centralCharacter, Mama Noah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mama Noah
Context triple: [Children of Eden, centralCharacter, Mama Noah]
  • A. Ojani Noa
    Ojani Noa is a Cuban former waiter, model, and actor best known for being Jennifer Lopez’s first husband.
  • B. Noah’s wife chosen
    Naameh is a character traditionally identified in some religious and literary interpretations as the wife of the biblical figure Noah.
  • C. Mama Nadi
    Mama Nadi is the tough, pragmatic brothel owner at the center of Lynn Nottage’s play "Ruined," embodying the moral ambiguities and survival strategies of women in a war-torn Congo.
  • D. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • E. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91561eaec819096ba00682d81f41a completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f677039481908f14fa12b9b86910 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.