Triple

T14083802
Position Surface form Disambiguated ID Type / Status
Subject Babylon (2022 film) E338936 entity
Predicate starring P1507 FINISHED
Object Diego Calva
Diego Calva is a Mexican actor best known internationally for his breakout leading role in Damien Chazelle’s 2022 Hollywood epic "Babylon."
 E1168959 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: Diego Calva | Statement: [Babylon (2022 film), starring, Diego Calva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diego Calva
Context triple: [Babylon (2022 film), starring, Diego Calva]
  • A. Diego Portillo
    Diego Portillo is a person notable enough to be recognized as a prominent bearer of the surname Portillo.
  • B. Álvaro Elizalde
    Álvaro Elizalde is a Chilean socialist politician who has held prominent leadership roles in the Socialist Party and served in high-level government positions.
  • C. Luis Felipe Magaña
    Luis Felipe Magaña is an individual notable enough to be recognized as a prominent bearer of the surname Magaña.
  • D. Juan Chávez
    Juan Chávez is a personal name shared by multiple individuals, most commonly associated with Latin American figures in politics, sports, and public life.
  • E. Sergio Chávez
    Sergio Chávez is a personal name that may refer to multiple individuals, including professionals and public figures in Spanish-speaking countries.
  • 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: Diego Calva
Triple: [Babylon (2022 film), starring, Diego Calva]
Generated description
Diego Calva is a Mexican actor best known internationally for his breakout leading role in Damien Chazelle’s 2022 Hollywood epic "Babylon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diego Calva
Target entity description: Diego Calva is a Mexican actor best known internationally for his breakout leading role in Damien Chazelle’s 2022 Hollywood epic "Babylon."
  • A. Diego Portillo
    Diego Portillo is a person notable enough to be recognized as a prominent bearer of the surname Portillo.
  • B. Álvaro Elizalde
    Álvaro Elizalde is a Chilean socialist politician who has held prominent leadership roles in the Socialist Party and served in high-level government positions.
  • C. Luis Felipe Magaña
    Luis Felipe Magaña is an individual notable enough to be recognized as a prominent bearer of the surname Magaña.
  • D. Juan Chávez
    Juan Chávez is a personal name shared by multiple individuals, most commonly associated with Latin American figures in politics, sports, and public life.
  • E. Sergio Chávez
    Sergio Chávez is a personal name that may refer to multiple individuals, including professionals and public figures in Spanish-speaking countries.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff677935408190a28af4cd34d82aa4 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff67f64d2c81908fd2d8a09cd0b369 completed May 9, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff6888a85481909e8cdd34ed230fa4 completed May 9, 2026, 5:02 p.m.
Created at: April 9, 2026, 10:21 p.m.