Triple

T16593529
Position Surface form Disambiguated ID Type / Status
Subject Howard E403148 entity
Predicate filmSettingRegion P10686 FINISHED
Object Mexico E346 NE FINISHED

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: Mexico | Statement: [Howard, filmSettingRegion, Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico
Context triple: [Howard, filmSettingRegion, Mexico]
  • A. Mexico chosen
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • B. Mexico
    Mexico is a landlocked municipality in the province of Pampanga in the Philippines, known for its historical churches and agricultural economy.
  • C. State of Mexico
    The State of Mexico is a populous federal entity in central Mexico that surrounds much of Mexico City and is a major political, economic, and industrial hub of the country.
  • D. Guatimozín
    Guatimozín is another name for Cuauhtémoc, the last Aztec emperor who led the defense of Tenochtitlan against the Spanish conquest.
  • E. Aztlan
    Aztlan is the legendary ancestral homeland of the Aztec people, often portrayed in Mesoamerican codices as a mythic island or place of origin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmSettingRegion
Context triple: [Howard, filmSettingRegion, Mexico]
  • A. countryOfFilming
    Indicates the country where the filming or production of a work physically took place.
  • B. countryOfSetting chosen
    Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
  • C. fictionalSettingRegion
    Indicates that a fictional setting is located within or associated with a specific geographic or administrative region.
  • D. theatricalRegion
    Indicates the geographic area or market where a theatrical performance, production, or release is presented or distributed.
  • E. coProductionRegions
    Indicates the regions or countries that jointly participated in producing a work (e.g., a film or TV show) as co-producers.
  • F. None of above.

Provenance (4 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d6fcaa48190b1ba7dc3b792041a completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b233ac8190b3f1ab82a47110d4 completed May 10, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69e296a7d9d0819088555bca6c936e79 completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:16 a.m.