Triple

T1924747
Position Surface form Disambiguated ID Type / Status
Subject Lloyd Bacon E40802 entity
Predicate spouse P13 FINISHED
Object Irma de Volán
Irma de Volán was the wife of American film director Lloyd Bacon, who was known for his prolific work in Hollywood during the early to mid-20th century.
 E215537 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: Irma de Volán | Statement: [Lloyd Bacon, spouse, Irma de Volán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irma de Volán
Context triple: [Lloyd Bacon, spouse, Irma de Volán]
  • A. Ricarda
    Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
  • B. Irma la Douce
    Irma la Douce is a 1963 romantic comedy film starring Jack Lemmon and Shirley MacLaine, adapted from the French stage musical of the same name.
  • C. Gertrudis
    Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
  • D. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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: Irma de Volán
Triple: [Lloyd Bacon, spouse, Irma de Volán]
Generated description
Irma de Volán was the wife of American film director Lloyd Bacon, who was known for his prolific work in Hollywood during the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irma de Volán
Target entity description: Irma de Volán was the wife of American film director Lloyd Bacon, who was known for his prolific work in Hollywood during the early to mid-20th century.
  • A. Ricarda
    Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
  • B. Irma la Douce
    Irma la Douce is a 1963 romantic comedy film starring Jack Lemmon and Shirley MacLaine, adapted from the French stage musical of the same name.
  • C. Gertrudis
    Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
  • D. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2359ca0819082b514a34c469b21 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.