Triple

T5743590
Position Surface form Disambiguated ID Type / Status
Subject Cible émouvante E126673 entity
Predicate characterPlayedBy P1507 FINISHED
Object René – Sergi López
René – Sergi López is a character portrayed by actor Sergi López in the French film "Cible émouvante."
 E546008 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: René – Sergi López | Statement: [Cible émouvante, characterPlayedBy, René – Sergi López]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: René – Sergi López
Context triple: [Cible émouvante, characterPlayedBy, René – Sergi López]
  • A. Samu García
    Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
  • B. Rubén
    Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Samu Castillejo
    Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
  • D. Robin de Jesús
    Robin de Jesús is a Puerto Rican-American actor known for his acclaimed performances on Broadway and in film, including multiple Tony-nominated roles.
  • E. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • 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: René – Sergi López
Triple: [Cible émouvante, characterPlayedBy, René – Sergi López]
Generated description
René – Sergi López is a character portrayed by actor Sergi López in the French film "Cible émouvante."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: René – Sergi López
Target entity description: René – Sergi López is a character portrayed by actor Sergi López in the French film "Cible émouvante."
  • A. Samu García
    Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
  • B. Rubén
    Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Samu Castillejo
    Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
  • D. Robin de Jesús
    Robin de Jesús is a Puerto Rican-American actor known for his acclaimed performances on Broadway and in film, including multiple Tony-nominated roles.
  • E. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02586b25c819083c409ce324268cc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2196e08190a38e1c6871e71acd completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c088eaf20c8190a8ed785ebab047af completed March 23, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_69c08945dd48819096453dc14fda13d0 completed March 23, 2026, 12:28 a.m.
Created at: March 22, 2026, 3:48 p.m.