Triple
T11947484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirens |
E284337
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Ryan Bailey
Ryan Bailey is a fictional character from the television series "Sirens."
|
E955923
|
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: Ryan Bailey | Statement: [Sirens, character, Ryan Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Bailey Context triple: [Sirens, character, Ryan Bailey]
-
A.
Joshua Bowman
Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
-
B.
Adam Biddle
Adam Biddle is a British cinematographer known for his dynamic, high-energy visual style in action films such as "Crank."
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
E.
Kris Bowers
Kris Bowers is an American composer and pianist known for his acclaimed scores for film and television, including projects such as "Green Book," "Bridgerton," and "King Richard."
- 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: Ryan Bailey Triple: [Sirens, character, Ryan Bailey]
Generated description
Ryan Bailey is a fictional character from the television series "Sirens."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Bailey Target entity description: Ryan Bailey is a fictional character from the television series "Sirens."
-
A.
Joshua Bowman
Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
-
B.
Adam Biddle
Adam Biddle is a British cinematographer known for his dynamic, high-energy visual style in action films such as "Crank."
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
E.
Kris Bowers
Kris Bowers is an American composer and pianist known for his acclaimed scores for film and television, including projects such as "Green Book," "Bridgerton," and "King Richard."
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458e003a0819082d052fd0bb88d8b |
completed | May 1, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 8, 2026, 9:45 p.m.