Triple
T7288046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul Food |
E163923
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Lem
Lem is a character from the television drama "Soul Food," known as the hardworking, often troubled husband of Bird who struggles to balance family responsibilities with his criminal past.
|
E653577
|
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: Lem | Statement: [Soul Food, character, Lem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lem Context triple: [Soul Food, character, Lem]
-
A.
Lem
Lem is a Polish surname most famously borne by science fiction writer and philosopher Stanisław Lem.
-
B.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
C.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
D.
Leo
Leo is an animated comedy film associated with Adam Sandler’s Happy Madison Productions, featuring a humorous, family-friendly story.
-
E.
Leo
Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
- 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: Lem Triple: [Soul Food, character, Lem]
Generated description
Lem is a character from the television drama "Soul Food," known as the hardworking, often troubled husband of Bird who struggles to balance family responsibilities with his criminal past.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lem Target entity description: Lem is a character from the television drama "Soul Food," known as the hardworking, often troubled husband of Bird who struggles to balance family responsibilities with his criminal past.
-
A.
Lem
Lem is a Polish surname most famously borne by science fiction writer and philosopher Stanisław Lem.
-
B.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
C.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
D.
Leo
Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
-
E.
Leo
Leo is an animated comedy film associated with Adam Sandler’s Happy Madison Productions, featuring a humorous, family-friendly story.
- 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_69c7db42c8d48190a548c4242b07fb40 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dc794bec819094d848497bd11fc1 |
completed | March 28, 2026, 1:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dd8117f881908c982c33b3f0e71a |
completed | March 28, 2026, 1:54 p.m. |
Created at: March 27, 2026, 2:59 p.m.