Triple
T3205040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why Did I Get Married? |
E67140
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Tasha Smith
Tasha Smith is an American actress and director best known for her bold, comedic, and dramatic roles in film and television, particularly in Tyler Perry–produced projects.
|
E444095
|
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: Tasha Smith | Statement: [Why Did I Get Married?, stars, Tasha Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasha Smith Context triple: [Why Did I Get Married?, stars, Tasha Smith]
-
A.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
-
B.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
-
C.
Tiera Kennedy
Tiera Kennedy is an American country singer-songwriter known for her soulful vocals and rising presence in contemporary country music.
-
D.
Shana Alexander
Shana Alexander was an American journalist and columnist best known for her incisive commentary and high-profile televised debates on the news program "60 Minutes."
-
E.
Kyla Deaver
Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
- 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: Tasha Smith Triple: [Why Did I Get Married?, stars, Tasha Smith]
Generated description
Tasha Smith is an American actress and director best known for her bold, comedic, and dramatic roles in film and television, particularly in Tyler Perry–produced projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tasha Smith Target entity description: Tasha Smith is an American actress and director best known for her bold, comedic, and dramatic roles in film and television, particularly in Tyler Perry–produced projects.
-
A.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
-
B.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
-
C.
Tiera Kennedy
Tiera Kennedy is an American country singer-songwriter known for her soulful vocals and rising presence in contemporary country music.
-
D.
Shana Alexander
Shana Alexander was an American journalist and columnist best known for her incisive commentary and high-profile televised debates on the news program "60 Minutes."
-
E.
Kyla Deaver
Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa559848819082d1e61f586278dd |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65076d970819098246f2533b7519f |
completed | March 15, 2026, 6:23 a.m. |
| NEDg | Description generation | batch_69b6519e30fc819098de2671c3aa89b9 |
completed | March 15, 2026, 6:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6521feae08190a029acdece360863 |
completed | March 15, 2026, 6:30 a.m. |
Created at: March 8, 2026, 3:07 p.m.