Triple

T16430133
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Opera E399049 entity
Predicate alsoKnownAs P39 FINISHED
Object The Met E428439 NE FINISHED

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: The Met | Statement: [Metropolitan Opera, alsoKnownAs, The Met]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Met
Context triple: [Metropolitan Opera, alsoKnownAs, The Met]
  • A. The Met chosen
    The Met is a world-renowned opera company and performance venue in New York City known for its grand productions and leading role in the international opera scene.
  • B. The Met
    The Met was an outdoor multi-purpose sports stadium in Bloomington, Minnesota, best known as the former home of the Minnesota Twins and Minnesota Vikings before the Metrodome.
  • C. Manhattan Museum of Art
    The Manhattan Museum of Art is a fictional New York City art museum featured in the film "Ghostbusters II," where much of the movie’s supernatural plot unfolds.
  • D. The Museum
    The Museum is an art exhibition space within Tokyo’s Bunkamura cultural complex, known for hosting a wide range of domestic and international art shows.
  • E. the Met
    The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458331748190a4bd1c5d2d466e6d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.