Triple
T12768917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Teacher (2013 film) |
E305195
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kimberly Parker
Kimberly Parker is a film producer known for her work on the 2013 drama "A Teacher."
|
E1128669
|
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: Kimberly Parker | Statement: [A Teacher (2013 film), producer, Kimberly Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly Parker Context triple: [A Teacher (2013 film), producer, Kimberly Parker]
-
A.
Nicole Parker
Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
-
B.
Carol Parker
Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
-
C.
Kimberly Reese
Kimberly Reese is a diligent, ambitious college student and close friend of Whitley Gilbert on the sitcom "A Different World," known for her academic drive and grounded personality.
-
D.
Jolene Parker
Jolene Parker is a fictional character portrayed by actress Rachel Brosnahan.
-
E.
Christie Parker
Christie Parker is a fictional character played by actress Jennifer Crystal Foley, best known from her work in American television.
- 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: Kimberly Parker Triple: [A Teacher (2013 film), producer, Kimberly Parker]
Generated description
Kimberly Parker is a film producer known for her work on the 2013 drama "A Teacher."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimberly Parker Target entity description: Kimberly Parker is a film producer known for her work on the 2013 drama "A Teacher."
-
A.
Nicole Parker
Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
-
B.
Carol Parker
Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
-
C.
Kimberly Reese
Kimberly Reese is a diligent, ambitious college student and close friend of Whitley Gilbert on the sitcom "A Different World," known for her academic drive and grounded personality.
-
D.
Jolene Parker
Jolene Parker is a fictional character portrayed by actress Rachel Brosnahan.
-
E.
Christie Parker
Christie Parker is a fictional character played by actress Jennifer Crystal Foley, best known from her work in American television.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e70dc788190850278a40a5a62e4 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe803875988190a4786db4ae0b0cbb |
completed | May 9, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 9, 2026, 5:28 p.m.