Triple

T7961902
Position Surface form Disambiguated ID Type / Status
Subject Coming 2 America E184884 entity
Predicate character P662 FINISHED
Object Semmi E341024 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: Semmi | Statement: [Coming 2 America, character, Semmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semmi
Context triple: [Coming 2 America, character, Semmi]
  • A. Semmi chosen
    Semmi is a comedic supporting character in the film "Coming to America," serving as Prince Akeem's pampered and often reluctant companion from Zamunda.
  • B. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • C. Menapii
    The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
  • D. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • E. Less Than Nothing
    Less Than Nothing is a major philosophical work by Slavoj Žižek that offers a sprawling reinterpretation of Hegelian dialectics through contemporary psychoanalysis, politics, and cultural theory.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.