Triple

T23124928
Position Surface form Disambiguated ID Type / Status
Subject Ryan Stiles E576999 entity
Predicate employer P7 FINISHED
Object ABC 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: ABC | Statement: [Ryan Stiles, employer, ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC
Context triple: [Ryan Stiles, employer, ABC]
  • A. ABC
    ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
  • B. ABC
    ABC is the IATA airport code for Albacete Air Base, a military airfield located near Albacete in Spain.
  • C. ABC
    ABC is a common abbreviation for Adventist Book Centers, a network of retail outlets specializing in Seventh-day Adventist literature and related products.
  • D. ABC chosen
    ABC is the common abbreviation for Asahi Broadcasting Corporation, a major Japanese television and radio broadcasting company based in Osaka.
  • E. ABC
    The Association of Boxing Commissions (ABC) is a North American organization that coordinates and sets regulatory standards for professional boxing and mixed martial arts across member athletic commissions.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e53ac288190b27fe8064fb576c2 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.