Triple
T14120703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Mermaid II: Return to the Sea |
E339896
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Brian Smith
Brian Smith is a film director best known for co-directing Disney’s animated sequel "The Little Mermaid II: Return to the Sea."
|
E1089549
|
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: Brian Smith | Statement: [The Little Mermaid II: Return to the Sea, director, Brian Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Smith Context triple: [The Little Mermaid II: Return to the Sea, director, Brian Smith]
-
A.
Brian J. Smith
Brian J. Smith is an American actor best known for his role as Will Gorski in the science fiction series Sense8 and for his work in television, film, and theater.
-
B.
Mark Smith
Mark Smith is a renowned designer known for his influential work with Nike, including creating iconic basketball-related trophies and products.
-
C.
Nick Smith
Nick Smith is the doomed husband and diner owner whose murder becomes the central plot of the 1946 film noir "The Postman Always Rings Twice."
-
D.
Greg Smith
Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
-
E.
Greg Smith
Greg Smith is a film producer best known for his work on the British comedy-drama "Brassed Off."
- 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: Brian Smith Triple: [The Little Mermaid II: Return to the Sea, director, Brian Smith]
Generated description
Brian Smith is a film director best known for co-directing Disney’s animated sequel "The Little Mermaid II: Return to the Sea."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Smith Target entity description: Brian Smith is a film director best known for co-directing Disney’s animated sequel "The Little Mermaid II: Return to the Sea."
-
A.
Brian J. Smith
Brian J. Smith is an American actor best known for his role as Will Gorski in the science fiction series Sense8 and for his work in television, film, and theater.
-
B.
Mark Smith
Mark Smith is a renowned designer known for his influential work with Nike, including creating iconic basketball-related trophies and products.
-
C.
Nick Smith
Nick Smith is the doomed husband and diner owner whose murder becomes the central plot of the 1946 film noir "The Postman Always Rings Twice."
-
D.
Greg Smith
Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
-
E.
Greg Smith
Greg Smith is a film producer best known for his work on the British comedy-drama "Brassed Off."
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3243360c819084a524af2e452863 |
completed | May 8, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69fd339f04f48190abd13b7ce459c931 |
completed | May 8, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd341b65e481908cd39e64e52583eb |
completed | May 8, 2026, 12:53 a.m. |
Created at: April 9, 2026, 10:22 p.m.