Triple

T36626812
Position Surface form Disambiguated ID Type / Status
Subject La ley de Herodes E904196 entity
Predicate partOf P40 FINISHED
Object Mexican New Cinema of the 1990s
Mexican New Cinema of the 1990s was a revitalized wave of Mexican filmmaking marked by politically charged, stylistically bold, and internationally acclaimed films that redefined the country’s cinematic identity.
E1892118 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: Mexican New Cinema of the 1990s | Statement: [La ley de Herodes, partOf, Mexican New Cinema of the 1990s]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mexican New Cinema of the 1990s
Triple: [La ley de Herodes, partOf, Mexican New Cinema of the 1990s]
Generated description
Mexican New Cinema of the 1990s was a revitalized wave of Mexican filmmaking marked by politically charged, stylistically bold, and internationally acclaimed films that redefined the country’s cinematic identity.

Provenance (5 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_69f76e6ae750819096911e6e2d4d12c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c4b139748190a24126f93d9922e2 completed May 3, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a09668388819085038ba372ba1ce8 completed June 23, 2026, 4:19 a.m.
NEDg Description generation batch_6a3a0d894224819083922e4e45b567a5 completed June 23, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a3a116ce7588190a9eace8342ac564c completed June 23, 2026, 4:54 a.m.
Created at: May 3, 2026, 4:11 p.m.