Triple
T8129620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes Day |
E189821
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nicole King
Nicole King is a film producer known for her work on the family comedy movie "Yes Day."
|
E731075
|
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: Nicole King | Statement: [Yes Day, producer, Nicole King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole King Context triple: [Yes Day, producer, Nicole King]
-
A.
Nicole Willis
Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
-
B.
Nicole Young
Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
-
C.
Nicole Johnson
Nicole Johnson is an American model and former Miss California USA best known as the wife of Olympic swimmer Michael Phelps.
-
D.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
E.
Nicole Coombs
Nicole Coombs is the mother of Princess Claire of Belgium and a member of the extended Belgian royal family circle.
- 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: Nicole King Triple: [Yes Day, producer, Nicole King]
Generated description
Nicole King is a film producer known for her work on the family comedy movie "Yes Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicole King Target entity description: Nicole King is a film producer known for her work on the family comedy movie "Yes Day."
-
A.
Nicole Willis
Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
-
B.
Nicole Young
Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
-
C.
Nicole Johnson
Nicole Johnson is an American model and former Miss California USA best known as the wife of Olympic swimmer Michael Phelps.
-
D.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
E.
Nicole Coombs
Nicole Coombs is the mother of Princess Claire of Belgium and a member of the extended Belgian royal family circle.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0218a3888190a0b224cf93a511de |
completed | April 2, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69ce077d8af0819082a7ea67a2c11ddd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce082078108190867044f45bc0a806 |
completed | April 2, 2026, 6:09 a.m. |
Created at: March 30, 2026, 5:34 p.m.