Triple
T20485326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasmine Cephas Jones |
E502574
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Kim Lesley
Kim Lesley is the mother of American actress and singer Jasmine Cephas Jones.
|
E1434673
|
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: Kim Lesley | Statement: [Jasmine Cephas Jones, parent, Kim Lesley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Lesley Context triple: [Jasmine Cephas Jones, parent, Kim Lesley]
-
A.
Kay Lemp
Kay Lemp is a member of the Lemp sisters, a group of sisters known collectively by their family name.
-
B.
Claire Keesey
Claire Keesey is a Boston bank manager who becomes romantically involved with a career criminal, unaware of his role in the heist that traumatized her, in the film "The Town."
-
C.
Lisa Kehler
Lisa Kehler is an individual notable enough to be recognized as a prominent bearer of the surname Kehler.
-
D.
Katherine Lester
Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
-
E.
Kirsten Lees
Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
- 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: Kim Lesley Triple: [Jasmine Cephas Jones, parent, Kim Lesley]
Generated description
Kim Lesley is the mother of American actress and singer Jasmine Cephas Jones.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Lesley Target entity description: Kim Lesley is the mother of American actress and singer Jasmine Cephas Jones.
-
A.
Kay Lemp
Kay Lemp is a member of the Lemp sisters, a group of sisters known collectively by their family name.
-
B.
Claire Keesey
Claire Keesey is a Boston bank manager who becomes romantically involved with a career criminal, unaware of his role in the heist that traumatized her, in the film "The Town."
-
C.
Lisa Kehler
Lisa Kehler is an individual notable enough to be recognized as a prominent bearer of the surname Kehler.
-
D.
Katherine Lester
Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
-
E.
Kirsten Lees
Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5aac208190956c7fd935578d60 |
completed | April 20, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893afefc881909807cd3a2eb92fcf |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894753bb08190a9c07a9264b2b292 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08952b742c8190b00f806ab772e46d |
completed | May 16, 2026, 4:02 p.m. |
Created at: April 16, 2026, 11:34 a.m.