Triple

T17800059
Position Surface form Disambiguated ID Type / Status
Subject Maura West E444397 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: [Maura West, employer, ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC
Context triple: [Maura West, 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 the stock ticker symbol for Abcam, a global life sciences company specializing in research antibodies, reagents, and related tools.
  • D. ABC chosen
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • E. ABC
    ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fe19dc8190b7e9dc96f39e0861 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.