Triple

T5054821
Position Surface form Disambiguated ID Type / Status
Subject Renaldo and Clara E113874 entity
Predicate portraysCharacter P1668 FINISHED
Object Renaldo
Renaldo is the titular character in Bob Dylan’s 1978 film "Renaldo and Clara," a surreal, semi-autobiographical drama blending concert footage with fictional vignettes.
 E490550 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: Renaldo | Statement: [Renaldo and Clara, portraysCharacter, Renaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Renaldo
Context triple: [Renaldo and Clara, portraysCharacter, Renaldo]
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • C. Romaldo
    Romaldo is the given name of Romaldo Giurgola, an Italian-Australian architect known for his modernist designs, including the Australian Parliament House in Canberra.
  • D. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • E. Rasool Diaz
    Rasool Diaz is a songwriter best known for co-writing the hit Beyoncé and Jay-Z track "Drunk in Love."
  • 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: Renaldo
Triple: [Renaldo and Clara, portraysCharacter, Renaldo]
Generated description
Renaldo is the titular character in Bob Dylan’s 1978 film "Renaldo and Clara," a surreal, semi-autobiographical drama blending concert footage with fictional vignettes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Renaldo
Target entity description: Renaldo is the titular character in Bob Dylan’s 1978 film "Renaldo and Clara," a surreal, semi-autobiographical drama blending concert footage with fictional vignettes.
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • C. Romaldo
    Romaldo is the given name of Romaldo Giurgola, an Italian-Australian architect known for his modernist designs, including the Australian Parliament House in Canberra.
  • D. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • E. Rasool Diaz
    Rasool Diaz is a songwriter best known for co-writing the hit Beyoncé and Jay-Z track "Drunk in Love."
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744ccb888190a8a0ddd7c4d62f35 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea71808cc8190934d2ce1f5b6f30b completed March 21, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_69bea7c7014881909edef5562f6c8a6d completed March 21, 2026, 2:14 p.m.
Created at: March 20, 2026, 1:38 p.m.