Triple
T11465570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozark |
E271771
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Skylar Gaertner
Skylar Gaertner is an American actor best known for his role as Jonah Byrde in the Netflix crime drama series "Ozark."
|
E928381
|
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: Skylar Gaertner | Statement: [Ozark, starring, Skylar Gaertner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skylar Gaertner Context triple: [Ozark, starring, Skylar Gaertner]
-
A.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
B.
Autumn Reeser
Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
-
C.
Skyler Gisondo
Skyler Gisondo is an American actor known for his comedic and dramatic roles in film and television, including appearances in projects like Vacation, Santa Clarita Diet, and The Righteous Gemstones.
-
D.
Skylar Mones
Skylar Mones is a music producer known for working with contemporary pop and R&B artists.
-
E.
Addison Clark
Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
- 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: Skylar Gaertner Triple: [Ozark, starring, Skylar Gaertner]
Generated description
Skylar Gaertner is an American actor best known for his role as Jonah Byrde in the Netflix crime drama series "Ozark."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skylar Gaertner Target entity description: Skylar Gaertner is an American actor best known for his role as Jonah Byrde in the Netflix crime drama series "Ozark."
-
A.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
B.
Autumn Reeser
Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
-
C.
Skyler Gisondo
Skyler Gisondo is an American actor known for his comedic and dramatic roles in film and television, including appearances in projects like Vacation, Santa Clarita Diet, and The Righteous Gemstones.
-
D.
Skylar Mones
Skylar Mones is a music producer known for working with contemporary pop and R&B artists.
-
E.
Addison Clark
Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
- 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_69e60415f6ac8190ad81ed0ef0a30e12 |
completed | April 20, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69e610a07bf881908de79850edb9576f |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e617fdaaa88190a1860fb00309596b |
completed | April 20, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:35 p.m.