Triple
T7288308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Too Deep |
E163929
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Dwayne Gittens
Dwayne Gittens is a fictional character from the crime thriller film "In Too Deep," involved in the movie’s gritty underworld narrative.
|
E661842
|
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: Dwayne Gittens | Statement: [In Too Deep, hasCharacter, Dwayne Gittens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwayne Gittens Context triple: [In Too Deep, hasCharacter, Dwayne Gittens]
-
A.
Mark Gwynne
Mark Gwynne is a British investment manager best known as the husband of journalist and broadcaster Emily Maitlis.
-
B.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
C.
Damon Elliott
Damon Elliott is an American record producer and songwriter known for his work across pop, R&B, and hip-hop with artists such as Beyoncé, Pink, and Destiny’s Child.
-
D.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
E.
Vincent Gaddis
Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
- 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: Dwayne Gittens Triple: [In Too Deep, hasCharacter, Dwayne Gittens]
Generated description
Dwayne Gittens is a fictional character from the crime thriller film "In Too Deep," involved in the movie’s gritty underworld narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dwayne Gittens Target entity description: Dwayne Gittens is a fictional character from the crime thriller film "In Too Deep," involved in the movie’s gritty underworld narrative.
-
A.
Mark Gwynne
Mark Gwynne is a British investment manager best known as the husband of journalist and broadcaster Emily Maitlis.
-
B.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
C.
Damon Elliott
Damon Elliott is an American record producer and songwriter known for his work across pop, R&B, and hip-hop with artists such as Beyoncé, Pink, and Destiny’s Child.
-
D.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
E.
Vincent Gaddis
Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
- 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_69c810c167848190a70f4e43c19f5809 |
completed | March 28, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c813960d548190a4797d3935b64cec |
completed | March 28, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c813f87d388190ac49a036ea2acd1d |
completed | March 28, 2026, 5:46 p.m. |
Created at: March 27, 2026, 2:59 p.m.