Triple
T13002730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Below Deck |
E322207
|
entity |
| Predicate | notableCastMember |
P7010
|
FINISHED |
| Object |
Kate Chastain
Kate Chastain is an American reality television personality and former chief stewardess best known for her prominent role on Bravo’s yachting series "Below Deck."
|
E1016626
|
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: Kate Chastain | Statement: [Below Deck, notableCastMember, Kate Chastain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Chastain Context triple: [Below Deck, notableCastMember, Kate Chastain]
-
A.
Kelli Rhoads
Kelli Rhoads is a musician best known for her association with the American glam metal band Ratt.
-
B.
Kirsten Anger
Kirsten Anger was the wife of Swedish diplomat Per Anger, who is renowned for helping save Hungarian Jews during the Holocaust.
-
C.
Charisma Osborne
Charisma Osborne is an American basketball player known as a standout guard for the UCLA Bruins, recognized for her scoring, leadership, and clutch performances in the Pac-12.
-
D.
Amanda Tynes
Amanda Tynes is best known as the wife of former NFL placekicker Lawrence Tynes.
-
E.
Amanda Freitag
Amanda Freitag is an American celebrity chef and television personality best known for her frequent judging appearances on Food Network cooking competition shows.
- 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: Kate Chastain Triple: [Below Deck, notableCastMember, Kate Chastain]
Generated description
Kate Chastain is an American reality television personality and former chief stewardess best known for her prominent role on Bravo’s yachting series "Below Deck."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Chastain Target entity description: Kate Chastain is an American reality television personality and former chief stewardess best known for her prominent role on Bravo’s yachting series "Below Deck."
-
A.
Kelli Rhoads
Kelli Rhoads is a musician best known for her association with the American glam metal band Ratt.
-
B.
Kirsten Anger
Kirsten Anger was the wife of Swedish diplomat Per Anger, who is renowned for helping save Hungarian Jews during the Holocaust.
-
C.
Charisma Osborne
Charisma Osborne is an American basketball player known as a standout guard for the UCLA Bruins, recognized for her scoring, leadership, and clutch performances in the Pac-12.
-
D.
Amanda Tynes
Amanda Tynes is best known as the wife of former NFL placekicker Lawrence Tynes.
-
E.
Amanda Freitag
Amanda Freitag is an American celebrity chef and television personality best known for her frequent judging appearances on Food Network cooking competition shows.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 9, 2026, 8:47 p.m.