Triple

T22486745
Position Surface form Disambiguated ID Type / Status
Subject Jason Hann E555904 entity
Predicate memberOf P10 FINISHED
Object EOTO 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: EOTO | Statement: [Jason Hann, memberOf, EOTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EOTO
Context triple: [Jason Hann, memberOf, EOTO]
  • A. EOTO chosen
    EOTO is an electronic improvisational music duo known for its live, loop-based performances blending jam band sensibilities with EDM.
  • B. ETO
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • C. ETO
    ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
  • D. ETOU
    ETOU is the ICAO airport code for Wiesbaden Army Airfield, a U.S. military airbase located near Wiesbaden, Germany.
  • E. OEO
    OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3da9588190abf2f96d3104edfb completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.