Triple
T7288045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul Food |
E163923
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Miles
Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
|
E653576
|
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: Miles | Statement: [Soul Food, character, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Soul Food, character, Miles]
-
A.
Miles
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
-
B.
Miles
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
-
C.
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
D.
Miles
Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
-
E.
D'Mile
D'Mile is a Grammy-winning American record producer and songwriter known for his work with artists like H.E.R., Silk Sonic, and Lucky Daye.
- 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: Miles Triple: [Soul Food, character, Miles]
Generated description
Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miles Target entity description: Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
-
A.
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
B.
Miles
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
-
C.
Miles
Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
-
D.
Miles
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
-
E.
D'Mile
D'Mile is a Grammy-winning American record producer and songwriter known for his work with artists like H.E.R., Silk Sonic, and Lucky Daye.
- 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.