Triple
T7913967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Griffin |
E183768
|
entity |
| Predicate | voiceRoleChange |
P23184
|
FINISHED |
| Object | Lacey Chabert to Mila Kunis |
E25478
|
NE FINISHED |
How this triple was built (3 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: Lacey Chabert to Mila Kunis | Statement: [Megan Griffin, voiceRoleChange, Lacey Chabert to Mila Kunis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacey Chabert to Mila Kunis Context triple: [Megan Griffin, voiceRoleChange, Lacey Chabert to Mila Kunis]
-
A.
Danielle Panabaker
Danielle Panabaker is an American actress best known for her role as Caitlin Snow/Killer Frost in the Arrowverse television series "The Flash."
-
B.
Mila Kunis
chosen
Mila Kunis is an American actress known for her roles in films like "Black Swan" and "Forgetting Sarah Marshall" and for voicing Meg Griffin on the animated series "Family Guy."
-
C.
Lacey Chabert
Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
-
D.
Emma Roberts
Emma Roberts is an American actress and singer known for her roles in films like "Nancy Drew" and TV series such as "American Horror Story" and "Scream Queens."
-
E.
Rachel Bilson
Rachel Bilson is an American actress best known for her television roles, including starring in the series "The O.C." and other popular TV dramas and comedies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceRoleChange Context triple: [Megan Griffin, voiceRoleChange, Lacey Chabert to Mila Kunis]
-
A.
voiceActingChange
chosen
Indicates that the voice actor associated with an entity has been changed from one performer to another.
-
B.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
C.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
D.
characterRoleSwap
Indicates a relationship where two characters exchange or assume each other’s narrative roles or functions within a story or scenario.
-
E.
voiceActingRole
Indicates that one entity performs the voice acting for a character or role in a work associated with the other entity.
- F. None of above.
Provenance (4 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a748f4c8190bcd868de2fcf0b3a |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdfb8d0819089cf1268df61bcdc |
completed | March 31, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:04 p.m.