Triple

T6904368
Position Surface form Disambiguated ID Type / Status
Subject William Dieterle E159570 entity
Predicate directed P7373 FINISHED
Object Juarez E335879 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: Juarez | Statement: [William Dieterle, directed, Juarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juarez
Context triple: [William Dieterle, directed, Juarez]
  • A. Juarez chosen
    Juarez is a 1939 historical drama film depicting the conflict between Mexican President Benito Juárez and Emperor Maximilian I during the French intervention in Mexico.
  • B. Juárez
    Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
  • C. Morelos
    Morelos is a small, landlocked state in south-central Mexico known for its warm climate, historical sites, and proximity to Mexico City.
  • D. Maximiliano
    Maximiliano is one of the principal summits of Carihuairazo, an extinct glaciated volcano in the Ecuadorian Andes.
  • E. Maximiliano
    Maximiliano is a masculine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries and derived from the name Maximilian.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f6640481908b74903a47e1eb18 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.