Triple
T14358728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Following |
E356039
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Annie Parisse
Annie Parisse is an American actress known for her work in television and film, including prominent roles in series like "Law & Order" and "The Following."
|
E1094763
|
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: Annie Parisse | Statement: [The Following, starring, Annie Parisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie Parisse Context triple: [The Following, starring, Annie Parisse]
-
A.
Annie Reisinger
Annie Reisinger was the wife of influential Austrian economist and political scientist Joseph Schumpeter.
-
B.
Caitlin Moltisanti
Caitlin Moltisanti is the infant daughter of Christopher Moltisanti in the television series "The Sopranos."
-
C.
Aimee Peyronnet
Aimee Peyronnet is a film producer best known for her work on the 2009 adaptation of "The Lovely Bones."
-
D.
Julie Bruneau
Julie Bruneau was a 19th-century Canadian woman best known as the wife and close confidante of Louis-Joseph Papineau, the prominent Lower Canadian political leader and reformer.
-
E.
Mary LaRoche
Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
- 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: Annie Parisse Triple: [The Following, starring, Annie Parisse]
Generated description
Annie Parisse is an American actress known for her work in television and film, including prominent roles in series like "Law & Order" and "The Following."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annie Parisse Target entity description: Annie Parisse is an American actress known for her work in television and film, including prominent roles in series like "Law & Order" and "The Following."
-
A.
Annie Reisinger
Annie Reisinger was the wife of influential Austrian economist and political scientist Joseph Schumpeter.
-
B.
Caitlin Moltisanti
Caitlin Moltisanti is the infant daughter of Christopher Moltisanti in the television series "The Sopranos."
-
C.
Aimee Peyronnet
Aimee Peyronnet is a film producer best known for her work on the 2009 adaptation of "The Lovely Bones."
-
D.
Julie Bruneau
Julie Bruneau was a 19th-century Canadian woman best known as the wife and close confidante of Louis-Joseph Papineau, the prominent Lower Canadian political leader and reformer.
-
E.
Mary LaRoche
Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c48dd408190ac45ad4ca6f610c3 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cf6e6788190a98479ed3b615a4e |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d6dd7c481908f53f8902ee714dd |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.