Triple

T15019646
Position Surface form Disambiguated ID Type / Status
Subject Breakdown E378049 entity
Predicate filmingLocation P40 FINISHED
Object Arizona E7404 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: Arizona | Statement: [Breakdown, filmingLocation, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arizona
Context triple: [Breakdown, filmingLocation, Arizona]
  • A. Arizona chosen
    Arizona is a southwestern U.S. state known for its desert climate, the Grand Canyon, and major cities like Phoenix and Tucson.
  • B. Arizona
    "Arizona" is a 2018 dark comedy thriller film set during the 2009 housing crisis, starring Rosemarie DeWitt and Danny McBride.
  • C. Arizona, Texas
    Arizona, Texas is an unincorporated community located within Walker County in the state of Texas, United States.
  • D. D. Ariz.
    D. Ariz. is the standard legal abbreviation for the United States District Court for the District of Arizona, a federal trial court within the Ninth Circuit.
  • E. Arizona Territory
    The Arizona Territory was a historical U.S. territorial jurisdiction in the American Southwest that existed from the mid-19th century until it achieved statehood as Arizona in 1912.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded76445988190984b57de66e00c4a completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0652dc8190a90a1c3b07a6ed94 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:56 a.m.