Triple
T15565758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricochet |
E371109
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Nick Styles
Nick Styles is the ambitious Los Angeles district attorney portrayed by Denzel Washington in the 1991 action-thriller film "Ricochet."
|
E1164246
|
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: Nick Styles | Statement: [Ricochet, featuresCharacter, Nick Styles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Styles Context triple: [Ricochet, featuresCharacter, Nick Styles]
-
A.
Jeff Styles
Jeff Styles is an individual known primarily in association with the use or creation of the Styles system or methodology referenced in the given context.
-
B.
David Styles
David Styles is the birth name of Holiday Styles, a person known publicly under this stage or professional name.
-
C.
Greg Vincent
Greg Vincent is a fictional character appearing in the American medical drama television series "Nurses."
-
D.
Mick Styles
Mick Styles is an individual known primarily in relation to the use or association with the name or brand "Styles."
-
E.
Ryan Stiles
Ryan Stiles is a Canadian-American actor and comedian best known for his improvisational work on "Whose Line Is It Anyway?" and his long-running role on "The Drew Carey Show."
- 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: Nick Styles Triple: [Ricochet, featuresCharacter, Nick Styles]
Generated description
Nick Styles is the ambitious Los Angeles district attorney portrayed by Denzel Washington in the 1991 action-thriller film "Ricochet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Styles Target entity description: Nick Styles is the ambitious Los Angeles district attorney portrayed by Denzel Washington in the 1991 action-thriller film "Ricochet."
-
A.
Jeff Styles
Jeff Styles is an individual known primarily in association with the use or creation of the Styles system or methodology referenced in the given context.
-
B.
David Styles
David Styles is the birth name of Holiday Styles, a person known publicly under this stage or professional name.
-
C.
Greg Vincent
Greg Vincent is a fictional character appearing in the American medical drama television series "Nurses."
-
D.
Mick Styles
Mick Styles is an individual known primarily in relation to the use or association with the name or brand "Styles."
-
E.
Ryan Stiles
Ryan Stiles is a Canadian-American actor and comedian best known for his improvisational work on "Whose Line Is It Anyway?" and his long-running role on "The Drew Carey Show."
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456a3b08819092f9f517bbef5577 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff49541fcc8190a1d22721bc255e19 |
completed | May 9, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff49f6db508190b0127a59d332512e |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 10, 2026, 4:10 a.m.