Triple

T23555155
Position Surface form Disambiguated ID Type / Status
Subject Jong Nam E578166 entity
Predicate component P35 FINISHED
Object Nam 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: Nam | Statement: [Jong Nam, component, Nam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nam
Context triple: [Jong Nam, component, Nam]
  • A. Nam chosen
    Nam is a Korean-Australian actor best known for his roles in films like "The Fast and the Furious: Tokyo Drift" and the HBO series "Westworld."
  • B. Son
    The Son is a major south-flowing river in central and eastern India, known as a key tributary of the Ganges and an important waterway for the regions it traverses.
  • C. Son
    Son is a Japanese surname most prominently associated with Masayoshi Son, the billionaire founder and CEO of SoftBank.
  • D. Son
    Son is a coastal village in Norway known for its marina, beaches, and role as a popular summer destination.
  • E. Nguu
    Nguu is an alternate name for the Ngulu language, a Bantu language spoken in parts of Tanzania.
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed253788190ba75109af0e91b37 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:12 p.m.