Triple

T6527160
Position Surface form Disambiguated ID Type / Status
Subject Paris Jackson E151333 entity
Predicate notableWork P4 FINISHED
Object Gringo
Gringo is a dark comedy–crime film in which Paris Jackson appears alongside an ensemble cast in a story about a businessman caught up in a dangerous scheme in Mexico.
 E606083 NE FINISHED

How this triple was built (4 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: Gringo | Statement: [Paris Jackson, notableWork, Gringo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gringo
Context triple: [Paris Jackson, notableWork, Gringo]
  • A. Gringo viejo
    Gringo viejo is a novel by Mexican author Carlos Fuentes that fictionalizes the mysterious final days of American writer Ambrose Bierce during the Mexican Revolution.
  • B. Camoteros
    Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
  • C. La Franja
    La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
  • D. La Frontera
    La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
  • E. Los Cochinos
    Los Cochinos is a 1973 comedy album by Cheech & Chong known for its satirical sketches and stoner humor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Gringo
Triple: [Paris Jackson, notableWork, Gringo]
Generated description
Gringo is a dark comedy–crime film in which Paris Jackson appears alongside an ensemble cast in a story about a businessman caught up in a dangerous scheme in Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gringo
Target entity description: Gringo is a dark comedy–crime film in which Paris Jackson appears alongside an ensemble cast in a story about a businessman caught up in a dangerous scheme in Mexico.
  • A. Gringo viejo
    Gringo viejo is a novel by Mexican author Carlos Fuentes that fictionalizes the mysterious final days of American writer Ambrose Bierce during the Mexican Revolution.
  • B. Camoteros
    Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
  • C. La Franja
    La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
  • D. La Frontera
    La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
  • E. Los Cochinos
    Los Cochinos is a 1973 comedy album by Cheech & Chong known for its satirical sketches and stoner humor.
  • F. None of above. chosen

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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada8a0e48190947616f3a09a2cba completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52a642c8190a50988f3faf61d39 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6745b40819083fbcb2a4063e34d completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d830ed6c8190a39126d97a5246d3 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:45 p.m.