Triple
T14540931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Jonas |
E341165
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Danielle Jonas
Danielle Jonas is an American television personality and former hairdresser best known for starring with her husband Kevin Jonas in the reality series "Married to Jonas."
|
E1115019
|
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: Danielle Jonas | Statement: [Kevin Jonas, spouse, Danielle Jonas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danielle Jonas Context triple: [Kevin Jonas, spouse, Danielle Jonas]
-
A.
Danielle DeJesus
Danielle DeJesus is a television producer best known for her executive production work on the crime drama series "Power Book II: Ghost."
-
B.
Danielle Bregoli
Danielle Bregoli is an American rapper and internet personality best known by her stage name Bhad Bhabie, who first gained fame from a viral appearance on the Dr. Phil show.
-
C.
Danielle Lassner
Danielle Lassner is the mother of television producer Andy Lassner, known for his work on "The Ellen DeGeneres Show."
-
D.
Danielle Judovits
Danielle Judovits is an American voice actress known for her work in animated television series and video games.
-
E.
Danielle Dyce
Danielle Dyce is the individual who operates under the superhero alias Red Raven.
- 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: Danielle Jonas Triple: [Kevin Jonas, spouse, Danielle Jonas]
Generated description
Danielle Jonas is an American television personality and former hairdresser best known for starring with her husband Kevin Jonas in the reality series "Married to Jonas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danielle Jonas Target entity description: Danielle Jonas is an American television personality and former hairdresser best known for starring with her husband Kevin Jonas in the reality series "Married to Jonas."
-
A.
Danielle DeJesus
Danielle DeJesus is a television producer best known for her executive production work on the crime drama series "Power Book II: Ghost."
-
B.
Danielle Bregoli
Danielle Bregoli is an American rapper and internet personality best known by her stage name Bhad Bhabie, who first gained fame from a viral appearance on the Dr. Phil show.
-
C.
Danielle Lassner
Danielle Lassner is the mother of television producer Andy Lassner, known for his work on "The Ellen DeGeneres Show."
-
D.
Danielle Judovits
Danielle Judovits is an American voice actress known for her work in animated television series and video games.
-
E.
Danielle Dyce
Danielle Dyce is the individual who operates under the superhero alias Red Raven.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf072a46481909287ef89f226270e |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf2b6c7148190a9ff302d88890b8f |
completed | May 8, 2026, 2:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf30dab20819085589da4e869fb7e |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:22 a.m.