Triple
T14126566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jada Pinkett Smith |
E340048
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jada
Jada is an American actress, producer, talk show host, and author best known for her roles in films like "The Matrix" series and for co-hosting the talk show "Red Table Talk."
|
E1081334
|
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: Jada | Statement: [Jada Pinkett Smith, givenName, Jada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jada Context triple: [Jada Pinkett Smith, givenName, Jada]
-
A.
Keisha
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
-
B.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
C.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
D.
Azadia Newman
Azadia Newman was the wife of Armenian-American film and theater director Rouben Mamoulian.
-
E.
Meeka Joffer
Meeka Joffer is a royal princess and the ambitious, modern-minded daughter of Prince Akeem in the comedy film "Coming 2 America."
- 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: Jada Triple: [Jada Pinkett Smith, givenName, Jada]
Generated description
Jada is an American actress, producer, talk show host, and author best known for her roles in films like "The Matrix" series and for co-hosting the talk show "Red Table Talk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jada Target entity description: Jada is an American actress, producer, talk show host, and author best known for her roles in films like "The Matrix" series and for co-hosting the talk show "Red Table Talk."
-
A.
Keisha
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
-
B.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
C.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
D.
Azadia Newman
Azadia Newman was the wife of Armenian-American film and theater director Rouben Mamoulian.
-
E.
Meeka Joffer
Meeka Joffer is a royal princess and the ambitious, modern-minded daughter of Prince Akeem in the comedy film "Coming 2 America."
- 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_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0c833081908458e4eaee689df7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce094bf3081909f7c0097dcb63398 |
completed | May 7, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce14ff8e48190b3b663d130d18418 |
completed | May 7, 2026, 7 p.m. |
Created at: April 9, 2026, 10:22 p.m.