Triple
T14365563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madge Sinclair |
E356223
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Belle in Roots
Belle in Roots is a compassionate and resilient enslaved woman who serves as a maternal figure and emotional anchor within the family at the heart of the miniseries.
|
E1095061
|
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: Belle in Roots | Statement: [Madge Sinclair, portrayed, Belle in Roots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belle in Roots Context triple: [Madge Sinclair, portrayed, Belle in Roots]
-
A.
Belle
Belle is the official mascot character representing Bennett College and its community spirit.
-
B.
Belle
Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
-
C.
Belle
Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
-
D.
Belle
Belle Roosevelt was an American socialite and member of the prominent Roosevelt family in the late 19th and early 20th centuries.
-
E.
Belle
Belle is the given name of Belle W. Baruch, an American philanthropist, conservationist, and heiress to the Baruch family fortune.
- 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: Belle in Roots Triple: [Madge Sinclair, portrayed, Belle in Roots]
Generated description
Belle in Roots is a compassionate and resilient enslaved woman who serves as a maternal figure and emotional anchor within the family at the heart of the miniseries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belle in Roots Target entity description: Belle in Roots is a compassionate and resilient enslaved woman who serves as a maternal figure and emotional anchor within the family at the heart of the miniseries.
-
A.
Belle
Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
-
B.
Belle
Belle is the official mascot character representing Bennett College and its community spirit.
-
C.
Belle
Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
-
D.
Belle
Belle Roosevelt was an American socialite and member of the prominent Roosevelt family in the late 19th and early 20th centuries.
-
E.
Belle
Belle is the given name of Belle W. Baruch, an American philanthropist, conservationist, and heiress to the Baruch family fortune.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4fa3788190b7fa5c34620c3ada |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e14f4dc8190860bd3bd4e306e28 |
completed | May 8, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4ea9fefc8190a5650f8ee270f37f |
completed | May 8, 2026, 2:47 a.m. |
Created at: April 10, 2026, 1:15 a.m.