Triple
T14239152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inferno |
E352961
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Sheila Dunn
Sheila Dunn is an actress known for her role in the film "Inferno."
|
E1346080
|
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: Sheila Dunn | Statement: [Inferno, featuresActor, Sheila Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Dunn Context triple: [Inferno, featuresActor, Sheila Dunn]
-
A.
Janine Dunn
Janine Dunn is the wife of country music singer Ronnie Dunn, known for her long-term marriage and support of his career.
-
B.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
C.
Sheila Watson
Sheila Watson was a pioneering Canadian modernist writer and critic best known for her influential novel "The Double Hook," which helped shape the development of contemporary Canadian literature.
-
D.
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.
-
E.
Maureen Earl
Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
- 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: Sheila Dunn Triple: [Inferno, featuresActor, Sheila Dunn]
Generated description
Sheila Dunn is an actress known for her role in the film "Inferno."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheila Dunn Target entity description: Sheila Dunn is an actress known for her role in the film "Inferno."
-
A.
Janine Dunn
Janine Dunn is the wife of country music singer Ronnie Dunn, known for her long-term marriage and support of his career.
-
B.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
C.
Sheila Watson
Sheila Watson was a pioneering Canadian modernist writer and critic best known for her influential novel "The Double Hook," which helped shape the development of contemporary Canadian literature.
-
D.
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.
-
E.
Maureen Earl
Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05674f1c708190aff7078618067fa6 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056d27afe0819092716cd60598ba94 |
completed | May 14, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056deac2708190b6164b6861956cd9 |
completed | May 14, 2026, 6:38 a.m. |
Created at: April 10, 2026, 1:08 a.m.