Triple

T5598566
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel E147057 entity
Predicate hasVariant P455 FINISHED
Object Imanuel E19584 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: Imanuel | Statement: [Emmanuel, hasVariant, Imanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imanuel
Context triple: [Emmanuel, hasVariant, Imanuel]
  • A. Immanuel chosen
    Immanuel is the given name of the influential German philosopher Immanuel Kant, a central figure in modern Western philosophy.
  • B. Emmanuel
    Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
  • C. Emmanuel
    Emmanuel is a masculine given name of Hebrew origin meaning "God is with us," used in various languages and cultures.
  • D. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • E. Akiva
    Akiva is a masculine given name of Hebrew origin, meaning "protect" or "shelter," and is notably borne by figures such as the ancient Jewish sage Rabbi Akiva and screenwriter-producer Akiva Goldsman.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d82870819087f9591b5a1021ce completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a045c4881909a3e48a242db5d22 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:38 p.m.