Triple

T20398487
Position Surface form Disambiguated ID Type / Status
Subject Raúl Juliá E500270 entity
Predicate notableWork P4 FINISHED
Object Romero
"Romero" is a 1989 biographical drama film depicting the life and assassination of Salvadoran Archbishop Óscar Romero, known for his outspoken defense of human rights during El Salvador's civil conflict.
E1427711 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: Romero | Statement: [Raúl Juliá, notableWork, Romero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romero
Context triple: [Raúl Juliá, notableWork, Romero]
  • A. Romero
    Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
  • B. Romero
    Romero is a common Spanish-origin surname borne by numerous notable individuals across fields such as sports, arts, and entertainment.
  • C. Raymundo
    Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
  • D. Gómez
    Gómez is a common Spanish surname widely found in Spain and Latin American countries.
  • E. Guzman
    Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
  • 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: Romero
Triple: [Raúl Juliá, notableWork, Romero]
Generated description
"Romero" is a 1989 biographical drama film depicting the life and assassination of Salvadoran Archbishop Óscar Romero, known for his outspoken defense of human rights during El Salvador's civil conflict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Romero
Target entity description: "Romero" is a 1989 biographical drama film depicting the life and assassination of Salvadoran Archbishop Óscar Romero, known for his outspoken defense of human rights during El Salvador's civil conflict.
  • A. Romero
    Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
  • B. Romero
    Romero is a common Spanish-origin surname borne by numerous notable individuals across fields such as sports, arts, and entertainment.
  • C. Raymundo
    Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
  • D. Gómez
    Gómez is a common Spanish surname widely found in Spain and Latin American countries.
  • E. Guzman
    Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087629f618819086c4747990ceb22f completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0876cc45b88190a7179ca4d518f899 completed May 16, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0877355bc08190909694d1bb0c3e67 completed May 16, 2026, 1:55 p.m.
Created at: April 16, 2026, 11:29 a.m.