Triple
T14173240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Berger |
E351262
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Evelyn Noraz
Evelyn Noraz is known as the spouse of Academy Award–winning makeup artist Howard Berger.
|
E1119751
|
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: Evelyn Noraz | Statement: [Howard Berger, spouse, Evelyn Noraz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evelyn Noraz Context triple: [Howard Berger, spouse, Evelyn Noraz]
-
A.
Evelyn Mase
Evelyn Mase was a South African nurse and the first wife of Nelson Mandela, with whom she had several children including Makgatho Mandela.
-
B.
Evelyn Baran
Evelyn Baran is best known as the wife of pioneering engineer Paul Baran, a key figure in the development of packet-switched networks and the internet.
-
C.
Rose Nylund
Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
-
D.
Evelyn Patrick
Evelyn Patrick was the wife of American comedian and actor Phil Silvers, known for his role as Sergeant Bilko.
-
E.
Eileen Herlie
Eileen Herlie was a Scottish-American actress best known for her classical stage work and prominent film and television roles, including notable Shakespearean performances.
- 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: Evelyn Noraz Triple: [Howard Berger, spouse, Evelyn Noraz]
Generated description
Evelyn Noraz is known as the spouse of Academy Award–winning makeup artist Howard Berger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evelyn Noraz Target entity description: Evelyn Noraz is known as the spouse of Academy Award–winning makeup artist Howard Berger.
-
A.
Evelyn Mase
Evelyn Mase was a South African nurse and the first wife of Nelson Mandela, with whom she had several children including Makgatho Mandela.
-
B.
Evelyn Baran
Evelyn Baran is best known as the wife of pioneering engineer Paul Baran, a key figure in the development of packet-switched networks and the internet.
-
C.
Rose Nylund
Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
-
D.
Evelyn Patrick
Evelyn Patrick was the wife of American comedian and actor Phil Silvers, known for his role as Sergeant Bilko.
-
E.
Eileen Herlie
Eileen Herlie was a Scottish-American actress best known for her classical stage work and prominent film and television roles, including notable Shakespearean performances.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249ebd3c81908d8b562845d9ceb1 |
completed | May 8, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_69fe26132f888190b81d072536263a8e |
completed | May 8, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe266d51608190abde582627a0917b |
completed | May 8, 2026, 6:07 p.m. |
Created at: April 10, 2026, 1:01 a.m.