Triple

T10609324
Position Surface form Disambiguated ID Type / Status
Subject Wesley Matthews E275962 entity
Predicate hasInstagramUsername P3718 FINISHED
Object wessywes23 E206882 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: wessywes23 | Statement: [Wesley Matthews, hasInstagramUsername, wessywes23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: wessywes23
Context triple: [Wesley Matthews, hasInstagramUsername, wessywes23]
  • A. Wess chosen
    Wess is a given name, typically used as a shortened or variant form of Wesley.
  • B. WES
    WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
  • C. WES
    WES is the vehicle registration code used on license plates for vehicles registered in the Wesel district of Germany.
  • D. WES
    WES is the standard abbreviation for the Westchester Knicks, the NBA G League affiliate of the New York Knicks.
  • E. WES
    WES is the three-letter station code used to identify Westminster Underground Station on the London Underground network.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4d0a6881909fea20378085173d completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ebe539881908aeff1cd65cf925f completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:32 p.m.