Triple

T3286305
Position Surface form Disambiguated ID Type / Status
Subject A Band Apart E68989 entity
Predicate produced P490 FINISHED
Object The Mexican E321052 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 Mexican | Statement: [A Band Apart, produced, The Mexican]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mexican
Context triple: [A Band Apart, produced, The Mexican]
  • A. The Mexican chosen
    The Mexican is a 2001 crime-comedy film starring Brad Pitt and Julia Roberts that blends romance, dark humor, and a quirky road-trip plot centered around a legendary cursed pistol.
  • B. Mexicanero
    Mexicanero are an Indigenous Nahua-speaking people of western Mexico, primarily living in the state of Nayarit and surrounding regions.
  • C. MEX
    MEX is the IATA airport code for Mexico City International Airport, the main international gateway serving Mexico City and one of the busiest airports in Latin America.
  • D. Guatimozín
    Guatimozín is another name for Cuauhtémoc, the last Aztec emperor who led the defense of Tenochtitlan against the Spanish conquest.
  • E. Mexican Cocopa
    Mexican Cocopa is a regional variety of the Cocopa language spoken by Cocopa communities in northern Mexico.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.