Triple

T9205342
Position Surface form Disambiguated ID Type / Status
Subject Grant Withers E220960 entity
Predicate spouse P13 FINISHED
Object Lorraine Withers
Lorraine Withers was the wife of American film and television actor Grant Withers.
E788534 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 Withers | Statement: [Grant Withers, spouse, Lorraine Withers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorraine Withers
Context triple: [Grant Withers, spouse, Lorraine Withers]
  • A. Shirley Scott
    Shirley Scott was an influential American jazz organist renowned for her soulful Hammond B-3 playing and significant contributions to the soul-jazz genre.
  • B. Shirley Mitchell
    Shirley Mitchell was an American character actress best known for her comedic roles in classic radio and television shows such as "I Love Lucy."
  • C. Loretta Brown
    Loretta Brown is a fictional character from the animated television series "Family Guy" and its spin-off "The Cleveland Show," known as Cleveland Brown's first wife.
  • D. Thelma Evans
    Thelma Evans is a central character on the 1970s sitcom "Good Times," known as the smart, independent, and strong-willed daughter of the Evans family.
  • E. 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.
  • 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 Withers
Triple: [Grant Withers, spouse, Lorraine Withers]
Generated description
Lorraine Withers was the wife of American film and television actor Grant Withers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorraine Withers
Target entity description: Lorraine Withers was the wife of American film and television actor Grant Withers.
  • A. Shirley Scott
    Shirley Scott was an influential American jazz organist renowned for her soulful Hammond B-3 playing and significant contributions to the soul-jazz genre.
  • B. Shirley Mitchell
    Shirley Mitchell was an American character actress best known for her comedic roles in classic radio and television shows such as "I Love Lucy."
  • C. Loretta Brown
    Loretta Brown is a fictional character from the animated television series "Family Guy" and its spin-off "The Cleveland Show," known as Cleveland Brown's first wife.
  • D. Thelma Evans
    Thelma Evans is a central character on the 1970s sitcom "Good Times," known as the smart, independent, and strong-willed daughter of the Evans family.
  • E. 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.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd947a0a08190966f22a6207c9120 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b96f0e88190bd80594fe3f769b8 completed April 4, 2026, 5:03 a.m.
NEDg Description generation batch_69d09ca202f88190b21b89e61b1596ff completed April 4, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:26 p.m.