Triple
T20661501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Madder |
E507769
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Anna Stevenson
Anna Stevenson is a character in Stephen King’s novel "Rose Madder," playing a key role in the story’s exploration of trauma and empowerment.
|
E1443655
|
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: Anna Stevenson | Statement: [Rose Madder, hasCharacter, Anna Stevenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Stevenson Context triple: [Rose Madder, hasCharacter, Anna Stevenson]
-
A.
Virginia Stevens
Virginia Stevens was the wife of influential American modernist photographer and filmmaker Paul Strand.
-
B.
Rachel Stevenson
Rachel Stevenson is a person notable enough to be specifically identified as a bearer of the surname Stevenson, though no widely recognized public information further distinguishes her.
-
C.
Ann Stevens
Ann Stevens is the mother of American actor George Hamilton.
-
D.
Sarah Angliss
Sarah Angliss is a British composer, multi-instrumentalist, and sound artist known for blending electronics, robotics, and early music influences in her experimental works.
-
E.
Anna Eltringham
Anna Eltringham is an Anglican bishop serving in the Church of England, known for her episcopal leadership in the Diocese of Leeds.
- 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: Anna Stevenson Triple: [Rose Madder, hasCharacter, Anna Stevenson]
Generated description
Anna Stevenson is a character in Stephen King’s novel "Rose Madder," playing a key role in the story’s exploration of trauma and empowerment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Stevenson Target entity description: Anna Stevenson is a character in Stephen King’s novel "Rose Madder," playing a key role in the story’s exploration of trauma and empowerment.
-
A.
Virginia Stevens
Virginia Stevens was the wife of influential American modernist photographer and filmmaker Paul Strand.
-
B.
Rachel Stevenson
Rachel Stevenson is a person notable enough to be specifically identified as a bearer of the surname Stevenson, though no widely recognized public information further distinguishes her.
-
C.
Ann Stevens
Ann Stevens is the mother of American actor George Hamilton.
-
D.
Sarah Angliss
Sarah Angliss is a British composer, multi-instrumentalist, and sound artist known for blending electronics, robotics, and early music influences in her experimental works.
-
E.
Anna Eltringham
Anna Eltringham is an Anglican bishop serving in the Church of England, known for her episcopal leadership in the Diocese of Leeds.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5afe5081909e20b796dd9f0908 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.