Triple
T12510468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissy Seaver |
E299062
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kelsey Dohring |
E976106
|
NE FINISHED |
How this triple was built (2 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: Kelsey Dohring | Statement: [Chrissy Seaver, portrayedBy, Kelsey Dohring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelsey Dohring Context triple: [Chrissy Seaver, portrayedBy, Kelsey Dohring]
-
A.
Kelsey Dohring
chosen
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
B.
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.
-
C.
Britt Robertson
Britt Robertson is an American actress known for her leading roles in films like "The Longest Ride" and television series such as "Life Unexpected" and "Girlboss."
-
D.
Dakota O'Donnell
Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
-
E.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f67c6a590881908b0fe779f3698ea2 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.