Triple
T14615095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghostbusters: Afterlife |
E343062
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Carrie Coon |
E229612
|
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: Carrie Coon | Statement: [Ghostbusters: Afterlife, portrayedBy, Carrie Coon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrie Coon Context triple: [Ghostbusters: Afterlife, portrayedBy, Carrie Coon]
-
A.
Carrie Coon
chosen
Carrie Coon is an American actress known for her acclaimed performances in television series like "The Leftovers" and "Fargo" as well as films such as "Gone Girl" and "The Nest."
-
B.
Taissa Farmiga
Taissa Farmiga is an American actress best known for her recurring roles in the horror anthology series "American Horror Story" and films such as "The Nun."
-
C.
Emily Patterson
Emily Patterson is the daughter of American actress Téa Leoni.
-
D.
Radha Mitchell
Radha Mitchell is an Australian actress known for her versatile performances in independent films and Hollywood productions, including notable roles in dramas, thrillers, and horror films.
-
E.
Olivia Thirlby
Olivia Thirlby is an American actress known for her roles in films such as "Juno," "Dredd," and various independent and mainstream productions.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ea085c8190b308504fa11c731d |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:25 a.m.