Triple
T8267260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morley Safer |
E193331
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jane Fearer
Jane Fearer is best known as the wife of longtime CBS "60 Minutes" correspondent Morley Safer.
|
E812533
|
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: Jane Fearer | Statement: [Morley Safer, spouse, Jane Fearer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Fearer Context triple: [Morley Safer, spouse, Jane Fearer]
-
A.
Pam Ferris
Pam Ferris is a British actress known for her character roles in film and television, including memorable performances in "Matilda," "Call the Midwife," and "Harry Potter and the Prisoner of Azkaban."
-
B.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
C.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
-
D.
Joan Hackett
Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
-
E.
Deborah Gillespie
Deborah Gillespie is an American woman best known as the longtime wife and widow of rock singer and actor Meat Loaf.
- 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: Jane Fearer Triple: [Morley Safer, spouse, Jane Fearer]
Generated description
Jane Fearer is best known as the wife of longtime CBS "60 Minutes" correspondent Morley Safer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane Fearer Target entity description: Jane Fearer is best known as the wife of longtime CBS "60 Minutes" correspondent Morley Safer.
-
A.
Pam Ferris
Pam Ferris is a British actress known for her character roles in film and television, including memorable performances in "Matilda," "Call the Midwife," and "Harry Potter and the Prisoner of Azkaban."
-
B.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
C.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
-
D.
Joan Hackett
Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
-
E.
Deborah Gillespie
Deborah Gillespie is an American woman best known as the longtime wife and widow of rock singer and actor Meat Loaf.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d181f4123c8190a15ee03b3156c6fd |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d182ef83e881908a579b6a696ebdc3 |
completed | April 4, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1836f1be48190a172834ce9eaafe3 |
completed | April 4, 2026, 9:32 p.m. |
Created at: March 30, 2026, 5:50 p.m.