Triple
T12698995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De-Lovely |
E303406
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Sandra Nelson
Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
|
E1215788
|
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 Nelson | Statement: [De-Lovely, starring, Sandra Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Nelson Context triple: [De-Lovely, starring, Sandra Nelson]
-
A.
Sandra Jennings
Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
-
B.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
C.
Sandra Howard
Sandra Howard is a British former fashion model and novelist who became known as the wife of Conservative politician Michael Howard.
-
D.
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."
-
E.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
- 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 Nelson Triple: [De-Lovely, starring, Sandra Nelson]
Generated description
Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandra Nelson Target entity description: Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
-
A.
Sandra Jennings
Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
-
B.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
C.
Sandra Howard
Sandra Howard is a British former fashion model and novelist who became known as the wife of Conservative politician Michael Howard.
-
D.
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."
-
E.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3548b48190aec852723654bd35 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00509164cc8190a381ba0a1de95ed1 |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005447f1948190a939c0051891e444 |
completed | May 10, 2026, 9:47 a.m. |
Created at: April 9, 2026, 5:22 p.m.