Triple

T1361364
Position Surface form Disambiguated ID Type / Status
Subject Alan Jay Lerner E29103 entity
Predicate spouse P13 FINISHED
Object Sandra Payne
Sandra Payne is a British actress known for her work in film and television, and for her former marriage to lyricist Alan Jay Lerner.
E234334 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: Sandra Payne | Statement: [Alan Jay Lerner, spouse, Sandra Payne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Payne
Context triple: [Alan Jay Lerner, spouse, Sandra Payne]
  • A. Sandra Levy
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • B. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • C. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • D. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • E. Suzanne Perrin
    Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
  • 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: Sandra Payne
Triple: [Alan Jay Lerner, spouse, Sandra Payne]
Generated description
Sandra Payne is a British actress known for her work in film and television, and for her former marriage to lyricist Alan Jay Lerner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sandra Payne
Target entity description: Sandra Payne is a British actress known for her work in film and television, and for her former marriage to lyricist Alan Jay Lerner.
  • A. Sandra Levy
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • B. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • C. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • D. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • E. Suzanne Perrin
    Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae3037944c8190b2ced5f5ca539260 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3149922c819085fb2af51d53304c completed March 9, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69ae31a67eb08190a3ef64e83301fabc completed March 9, 2026, 2:34 a.m.
Created at: March 1, 2026, 7:57 p.m.