Triple
T7288040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul Food |
E163923
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Maxine
Maxine is a central character in the "Soul Food" film and television series, known for her role within the Joseph family’s complex, intergenerational drama.
|
E654983
|
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: Maxine | Statement: [Soul Food, character, Maxine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxine Context triple: [Soul Food, character, Maxine]
-
A.
Maxine
Maxine is a character featured in the film "Once Again."
-
B.
Maxine Brown
Maxine Brown is an American soul and R&B singer best known for her 1960s hits like "All in My Mind" and "Funny," which helped define the early soul sound.
-
C.
Maxine Cooper
Maxine Cooper was an American actress best known for her role as Velda, the loyal secretary in the classic 1955 film noir "Kiss Me Deadly."
-
D.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
-
E.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
- 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: Maxine Triple: [Soul Food, character, Maxine]
Generated description
Maxine is a central character in the "Soul Food" film and television series, known for her role within the Joseph family’s complex, intergenerational drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maxine Target entity description: Maxine is a central character in the "Soul Food" film and television series, known for her role within the Joseph family’s complex, intergenerational drama.
-
A.
Maxine
Maxine is a character featured in the film "Once Again."
-
B.
Maxine Brown
Maxine Brown is an American soul and R&B singer best known for her 1960s hits like "All in My Mind" and "Funny," which helped define the early soul sound.
-
C.
Maxine Cooper
Maxine Cooper was an American actress best known for her role as Velda, the loyal secretary in the classic 1955 film noir "Kiss Me Deadly."
-
D.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e5368794819084e50bc87d8264de |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e628b9e0819099fef480ea58973d |
completed | March 28, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e7582ab08190827bb04465297c7c |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 2:59 p.m.