Triple

T19972657
Position Surface form Disambiguated ID Type / Status
Subject Museum of the Moving Image E480116 entity
Predicate alsoKnownAs P39 FINISHED
Object MoMI 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: MoMI | Statement: [Museum of the Moving Image, alsoKnownAs, MoMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MoMI
Context triple: [Museum of the Moving Image, alsoKnownAs, MoMI]
  • A. MoMI chosen
    MoMI is a New York City museum dedicated to the art, history, and technology of film, television, and digital media.
  • B. MOI
    MOI is the Ministry of the Interior of Taiwan, the government agency responsible for domestic affairs such as local administration, public security, and civil services.
  • C. MOI
    MOI is the Ministry of Interior of Thailand, a key government body responsible for internal administration, local governance, and domestic security.
  • D. MOI
    MOI is a regional history and science museum in Idaho Falls, Idaho, known for hosting major traveling exhibits and showcasing the natural and cultural heritage of Idaho.
  • E. MOIS
    MOIS is the acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency responsible for domestic and foreign intelligence operations.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bca94c0819095c902a411c4c4b8 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.