Triple
T12510469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissy Seaver |
E299062
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Kandace Boening
Kandace Boening is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
|
E976106
|
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: Kandace Boening | Statement: [Chrissy Seaver, portrayedBy, Kandace Boening]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandace Boening Context triple: [Chrissy Seaver, portrayedBy, Kandace Boening]
-
A.
Kelsey Dohring
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
B.
Kaya Faison
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
-
C.
Alycia Debnam-Carey
Alycia Debnam-Carey is an Australian actress best known for her prominent roles in television series such as Fear the Walking Dead and The 100.
-
D.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
E.
Mackenzie Mauzy
Mackenzie Mauzy is an American actress and singer known for her work on Broadway and in film and television, including her role as Rapunzel in the 2014 musical fantasy film "Into the Woods."
- 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: Kandace Boening Triple: [Chrissy Seaver, portrayedBy, Kandace Boening]
Generated description
Kandace Boening is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kandace Boening Target entity description: Kandace Boening is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
A.
Kelsey Dohring
chosen
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
B.
Kaya Faison
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
-
C.
Alycia Debnam-Carey
Alycia Debnam-Carey is an Australian actress best known for her prominent roles in television series such as Fear the Walking Dead and The 100.
-
D.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
E.
Mackenzie Mauzy
Mackenzie Mauzy is an American actress and singer known for her work on Broadway and in film and television, including her role as Rapunzel in the 2014 musical fantasy film "Into the Woods."
- F. None of above.
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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d4821c8190aa29db4b35262e8e |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f687100b1c8190a9aa530a5844282f |
completed | May 2, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68774c6e08190a8f47405d5d972c7 |
completed | May 2, 2026, 11:23 p.m. |
Created at: April 8, 2026, 9:57 p.m.