Triple
T11465590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozark |
E271771
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Helen Pierce
Helen Pierce is a ruthless Chicago attorney and cartel representative in the television series "Ozark," known for her cold, calculating demeanor and pivotal role in the Byrde family's criminal entanglements.
|
E998131
|
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: Helen Pierce | Statement: [Ozark, character, Helen Pierce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Pierce Context triple: [Ozark, character, Helen Pierce]
-
A.
Helen Shay
Helen Shay was the wife of American character actor Guy Kibbee, known for his roles in 1930s and 1940s Hollywood films.
-
B.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
C.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
D.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
E.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
- 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: Helen Pierce Triple: [Ozark, character, Helen Pierce]
Generated description
Helen Pierce is a ruthless Chicago attorney and cartel representative in the television series "Ozark," known for her cold, calculating demeanor and pivotal role in the Byrde family's criminal entanglements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Pierce Target entity description: Helen Pierce is a ruthless Chicago attorney and cartel representative in the television series "Ozark," known for her cold, calculating demeanor and pivotal role in the Byrde family's criminal entanglements.
-
A.
Helen Shay
Helen Shay was the wife of American character actor Guy Kibbee, known for his roles in 1930s and 1940s Hollywood films.
-
B.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
C.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
D.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
E.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6717a5ca081908bdba9b944b76258 |
completed | May 2, 2026, 9:49 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
Created at: April 8, 2026, 9:35 p.m.