Triple

T9741417
Position Surface form Disambiguated ID Type / Status
Subject @aplusk E236193 entity
Predicate hasUsername P38508 FINISHED
Object aplusk E236193 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: aplusk | Statement: [@aplusk, hasUsername, aplusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: aplusk
Context triple: [@aplusk, hasUsername, aplusk]
  • A. @aplusk chosen
    @aplusk is the Twitter handle of American actor, producer, and entrepreneur Ashton Kutcher, known for his roles in film and television and his high-profile presence on social media.
  • B. Pluss
    Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
  • C. PlusPlus
    PlusPlus is a related sister channel to the 1+1 television network, offering its own lineup of entertainment programming.
  • D. Plus
    Plus is a leading Polish telecommunications operator providing mobile and internet services nationwide.
  • E. ADD
    ADD is the three-letter IATA airport code for Addis Ababa Bole International Airport, the main international gateway to Ethiopia’s capital city.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.