Triple
T3023268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newman |
E82513
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Sandra Newman
Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
|
E526543
|
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 Newman | Statement: [Newman, hasNotableBearer, Sandra Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Newman Context triple: [Newman, hasNotableBearer, Sandra Newman]
-
A.
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.
-
B.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
C.
Sandra Bloom
Sandra Bloom is a central character in the film "Big Fish," portrayed as the loving and steadfast wife of Edward Bloom and mother of their son, William.
-
D.
Sandra Levy
Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
-
E.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
- 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 Newman Triple: [Newman, hasNotableBearer, Sandra Newman]
Generated description
Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandra Newman Target entity description: Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
-
A.
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.
-
B.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
C.
Sandra Bloom
Sandra Bloom is a central character in the film "Big Fish," portrayed as the loving and steadfast wife of Edward Bloom and mother of their son, William.
-
D.
Sandra Levy
Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
-
E.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9ab8e0a48190ac79e674abd181cf |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc1fe1188819097c3d382323571be |
completed | March 22, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_69bfc2856a048190b7c32e641495fe6c |
completed | March 22, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfc2de851c8190a9e03844a65a71b2 |
completed | March 22, 2026, 10:22 a.m. |
Created at: March 8, 2026, 3 p.m.