Triple

T22035945
Position Surface form Disambiguated ID Type / Status
Subject Nos E544207 entity
Predicate originalTitle P65 FINISHED
Object Nos 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: Nos | Statement: [Nos, originalTitle, Nos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nos
Context triple: [Nos, originalTitle, Nos]
  • A. Nos chosen
    Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
  • B. Nos
    Nos is a railway station in Chile that serves as a stop on the Metrotren Nos commuter rail service connecting Santiago with its southern suburbs.
  • C. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • D. Nous
    Nous is the ancient Greek philosophical concept of intellect or divine mind, often understood as the rational, ordering principle of the cosmos.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f1f95c8190a324c84313cd91ee completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.