Triple
T13222066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invasion |
E314778
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Kari Matchett
Kari Matchett is a Canadian actress known for her work in film and television, including prominent roles in series such as "Covert Affairs" and "24."
|
E1142963
|
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: Kari Matchett | Statement: [Invasion, starredActor, Kari Matchett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kari Matchett Context triple: [Invasion, starredActor, Kari Matchett]
-
A.
Kari Holbrook
Kari Holbrook is an individual notable enough to be recognized as a prominent bearer of the Holbrook surname.
-
B.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
C.
Danelle Morton
Danelle Morton is an American journalist and author known for co-writing celebrity memoirs and nonfiction books, including collaborating with Lynne Spears.
-
D.
Susan Karike
Susan Karike was a Papua New Guinean designer best known for creating her country's national flag.
-
E.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
- 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: Kari Matchett Triple: [Invasion, starredActor, Kari Matchett]
Generated description
Kari Matchett is a Canadian actress known for her work in film and television, including prominent roles in series such as "Covert Affairs" and "24."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kari Matchett Target entity description: Kari Matchett is a Canadian actress known for her work in film and television, including prominent roles in series such as "Covert Affairs" and "24."
-
A.
Kari Holbrook
Kari Holbrook is an individual notable enough to be recognized as a prominent bearer of the Holbrook surname.
-
B.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
C.
Danelle Morton
Danelle Morton is an American journalist and author known for co-writing celebrity memoirs and nonfiction books, including collaborating with Lynne Spears.
-
D.
Susan Karike
Susan Karike was a Papua New Guinean designer best known for creating her country's national flag.
-
E.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed47c88d08190a4396b955c9bb388 |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed50956408190b1426d578803974e |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 9, 2026, 9:18 p.m.