Triple
T20628941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Card |
E506897
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Jessie Keosian
Jessie Keosian is an actress known for her role in the film "Green Card."
|
E1449068
|
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: Jessie Keosian | Statement: [Green Card, castMember, Jessie Keosian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie Keosian Context triple: [Green Card, castMember, Jessie Keosian]
-
A.
Jessy Schram
Jessy Schram is an American actress known for her roles in television series such as "Falling Skies," "Once Upon a Time," and various Hallmark Channel movies.
-
B.
Jessalyn Gilsig
Jessalyn Gilsig is a Canadian actress best known for her television roles on series such as Glee, Vikings, and Boston Public.
-
C.
Jillian Armenante
Jillian Armenante is an American actress and director best known for her character roles in television and film, including a prominent part on the legal drama series "Judging Amy."
-
D.
Kristen Harabedian
Kristen Harabedian is a former collegiate gymnast and business professional best known as the wife of Major League Baseball player Trea Turner.
-
E.
Jessica Baclesse
Jessica Baclesse is a film editor known for her work on major feature films, including the boxing drama sequel Creed III.
- 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: Jessie Keosian Triple: [Green Card, castMember, Jessie Keosian]
Generated description
Jessie Keosian is an actress known for her role in the film "Green Card."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessie Keosian Target entity description: Jessie Keosian is an actress known for her role in the film "Green Card."
-
A.
Jessy Schram
Jessy Schram is an American actress known for her roles in television series such as "Falling Skies," "Once Upon a Time," and various Hallmark Channel movies.
-
B.
Jessalyn Gilsig
Jessalyn Gilsig is a Canadian actress best known for her television roles on series such as Glee, Vikings, and Boston Public.
-
C.
Jillian Armenante
Jillian Armenante is an American actress and director best known for her character roles in television and film, including a prominent part on the legal drama series "Judging Amy."
-
D.
Kristen Harabedian
Kristen Harabedian is a former collegiate gymnast and business professional best known as the wife of Major League Baseball player Trea Turner.
-
E.
Jessica Baclesse
Jessica Baclesse is a film editor known for her work on major feature films, including the boxing drama sequel Creed III.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe771e88190a48471bf83b4804d |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8262e988190a50fb3bc137669a6 |
completed | May 16, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_6a08e93ff7dc8190b4668b965e90ab10 |
completed | May 16, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ea02a1688190bc7944f67067bcfa |
completed | May 16, 2026, 10:04 p.m. |
Created at: April 16, 2026, 11:42 a.m.