Triple

T5916627
Position Surface form Disambiguated ID Type / Status
Subject Victor Mature E131595 entity
Predicate spouse P13 FINISHED
Object Loretta Sebena
Loretta Sebena was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
 E560651 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: Loretta Sebena | Statement: [Victor Mature, spouse, Loretta Sebena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loretta Sebena
Context triple: [Victor Mature, spouse, Loretta Sebena]
  • A. Maria Mauban
    Maria Mauban was a French actress known for her roles in European cinema of the 1940s and 1950s, including notable performances in Italian neorealist and French films.
  • B. Loretta Martin
    Loretta Martin is best known as the wife of iconic American television host and producer Dick Clark.
  • C. Phoef Sutton
    Phoef Sutton is an American television writer and producer best known for his work on popular sitcoms such as "Cheers" and various other TV series.
  • D. Loretta Jamison
    Loretta Jamison is a character in the horror film "The Visit," serving as one of the unsettling elderly relatives central to the movie’s suspense and mystery.
  • E. Nora Kaye
    Nora Kaye was an acclaimed American ballerina and actress, renowned as one of the leading dramatic dancers of the mid-20th century.
  • 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: Loretta Sebena
Triple: [Victor Mature, spouse, Loretta Sebena]
Generated description
Loretta Sebena was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loretta Sebena
Target entity description: Loretta Sebena was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
  • A. Maria Mauban
    Maria Mauban was a French actress known for her roles in European cinema of the 1940s and 1950s, including notable performances in Italian neorealist and French films.
  • B. Loretta Martin
    Loretta Martin is best known as the wife of iconic American television host and producer Dick Clark.
  • C. Phoef Sutton
    Phoef Sutton is an American television writer and producer best known for his work on popular sitcoms such as "Cheers" and various other TV series.
  • D. Loretta Jamison
    Loretta Jamison is a character in the horror film "The Visit," serving as one of the unsettling elderly relatives central to the movie’s suspense and mystery.
  • E. Nora Kaye
    Nora Kaye was an acclaimed American ballerina and actress, renowned as one of the leading dramatic dancers of the mid-20th century.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10811e00881908ca0788b9126a1ff completed March 23, 2026, 9:29 a.m.
NEDg Description generation batch_69c10987f5588190ac9305b84d8916a7 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10afbee8081909cf516ae7cda7ccf completed March 23, 2026, 9:42 a.m.
Created at: March 22, 2026, 3:59 p.m.