Triple

T12087285
Position Surface form Disambiguated ID Type / Status
Subject Paul Sorvino E287839 entity
Predicate spouse P13 FINISHED
Object Lorraine Davis
Lorraine Davis is an American actress and the former wife of late character actor Paul Sorvino.
E1138429 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: Lorraine Davis | Statement: [Paul Sorvino, spouse, Lorraine Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorraine Davis
Context triple: [Paul Sorvino, spouse, Lorraine Davis]
  • A. Lorraine Nicholson
    Lorraine Nicholson is an American actress and filmmaker known for roles in films like "Click" and "Soul Surfer" and for being the daughter of actor Jack Nicholson.
  • B. Lorraine Baines
    Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
  • C. Lyn Davis
    Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
  • D. Lisa Davis
    Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
  • E. Lorraine Williams
    Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
  • 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: Lorraine Davis
Triple: [Paul Sorvino, spouse, Lorraine Davis]
Generated description
Lorraine Davis is an American actress and the former wife of late character actor Paul Sorvino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorraine Davis
Target entity description: Lorraine Davis is an American actress and the former wife of late character actor Paul Sorvino.
  • A. Lorraine Nicholson
    Lorraine Nicholson is an American actress and filmmaker known for roles in films like "Click" and "Soul Surfer" and for being the daughter of actor Jack Nicholson.
  • B. Lorraine Baines
    Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
  • C. Lyn Davis
    Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
  • D. Lisa Davis
    Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
  • E. Lorraine Williams
    Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7ca3e348190a75c1dd8aec73a40 completed May 9, 2026, 4:27 a.m.
NEDg Description generation batch_69feba1d256c8190ba13379d0cb8135c completed May 9, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69feba93c4cc819083c683210d1f03f8 completed May 9, 2026, 4:39 a.m.
Created at: April 8, 2026, 9:48 p.m.