Triple
T15752512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nutcracker and the Four Realms |
E381880
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sara Smith
Sara Smith is a film producer known for her work on Disney’s fantasy adventure movie "The Nutcracker and the Four Realms."
|
E1202060
|
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: Sara Smith | Statement: [The Nutcracker and the Four Realms, producer, Sara Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Smith Context triple: [The Nutcracker and the Four Realms, producer, Sara Smith]
-
A.
Sara Williams
Sara Williams is a sibling of American actress Michelle Williams, known primarily for her family connection to the Oscar-nominated performer.
-
B.
Sara Jones
Sara Jones is the wife of Herbert Jones.
-
C.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
D.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
E.
Sara Henry
Sara Henry is known as the wife of American voice actor and comedian Mike Henry, recognized for his work on shows like Family Guy.
- 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: Sara Smith Triple: [The Nutcracker and the Four Realms, producer, Sara Smith]
Generated description
Sara Smith is a film producer known for her work on Disney’s fantasy adventure movie "The Nutcracker and the Four Realms."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Smith Target entity description: Sara Smith is a film producer known for her work on Disney’s fantasy adventure movie "The Nutcracker and the Four Realms."
-
A.
Sara Williams
Sara Williams is a sibling of American actress Michelle Williams, known primarily for her family connection to the Oscar-nominated performer.
-
B.
Sara Jones
Sara Jones is the wife of Herbert Jones.
-
C.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
D.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
E.
Sara Henry
Sara Henry is known as the wife of American voice actor and comedian Mike Henry, recognized for his work on shows like Family Guy.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec1091c8190a8e4c4db6180129a |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a0010b8f1188190bb0dc151a754edb9 |
completed | May 10, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0011145e2081909b0486e29e6d3e02 |
completed | May 10, 2026, 5:01 a.m. |
Created at: April 10, 2026, 4:47 a.m.