Triple

T19622996
Position Surface form Disambiguated ID Type / Status
Subject Tommy Kelly E471059 entity
Predicate participatedIn P149 FINISHED
Object Military Academy — NE NERFINISHED

How this triple was built (3 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: Military Academy | Statement: [Tommy Kelly, participatedIn, Military Academy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Military Academy
Context triple: [Tommy Kelly, participatedIn, Military Academy]
  • A. Army Military Academy
    The Army Military Academy is Portugal’s principal higher education institution responsible for training and educating officers for the Portuguese Army.
  • B. Akademi Militer
    Akademi Militer is Indonesia’s national military academy responsible for training and educating future officers of the Indonesian Army.
  • C. Air Force Military School
    Air Force Military School is a Mexican military academy dedicated to training and educating officers and specialists for the Mexican Air Force.
  • D. Civil Services Academy
    The Civil Services Academy is a premier Pakistani training institution that prepares newly recruited civil servants for careers in the country’s administrative and public service cadres.
  • E. Military Academy of Communications
    The Military Academy of Communications was a key Soviet higher education institution specializing in training officers and conducting research in military communications and related technologies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Military Academy
Target entity description: Military Academy is a 1936 American comedy-drama film centered on the lives and challenges of cadets training at a military school.
  • A. Army Military Academy
    The Army Military Academy is Portugal’s principal higher education institution responsible for training and educating officers for the Portuguese Army.
  • B. Akademi Militer
    Akademi Militer is Indonesia’s national military academy responsible for training and educating future officers of the Indonesian Army.
  • C. Air Force Military School
    Air Force Military School is a Mexican military academy dedicated to training and educating officers and specialists for the Mexican Air Force.
  • D. Civil Services Academy
    The Civil Services Academy is a premier Pakistani training institution that prepares newly recruited civil servants for careers in the country’s administrative and public service cadres.
  • E. Military Academy of Communications
    The Military Academy of Communications was a key Soviet higher education institution specializing in training officers and conducting research in military communications and related technologies.
  • F. None of above. chosen

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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e7949081908a89414ef899fa20 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.