Triple
T14656348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swag |
E344119
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Frank Ryan
Frank Ryan is the protagonist of the film "Swag," around whom the story’s central conflicts and developments revolve.
|
E1114694
|
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: Frank Ryan | Statement: [Swag, mainCharacter, Frank Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Ryan Context triple: [Swag, mainCharacter, Frank Ryan]
-
A.
Jack Egan
Jack Egan is a cast member associated with the production or project titled "Netherland Dwarf."
-
B.
John McDermott
John McDermott is a Scottish-Canadian tenor known for his interpretations of traditional Celtic and Irish songs and for his work with the Irish Tenors.
-
C.
Rusty Egan
Rusty Egan is a British musician, DJ, and producer best known for helping pioneer the New Romantic club scene in late 1970s and early 1980s London.
-
D.
Frank O'Rourke
Frank O'Rourke was an American novelist and short story writer best known for his Westerns and crime fiction, several of which were adapted into films.
-
E.
Marty Dwyer
Marty Dwyer is a comedic supporting character in the 1995 romantic comedy film "Nine Months," contributing to the movie’s lighthearted take on impending parenthood.
- 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: Frank Ryan Triple: [Swag, mainCharacter, Frank Ryan]
Generated description
Frank Ryan is the protagonist of the film "Swag," around whom the story’s central conflicts and developments revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Ryan Target entity description: Frank Ryan is the protagonist of the film "Swag," around whom the story’s central conflicts and developments revolve.
-
A.
Jack Egan
Jack Egan is a cast member associated with the production or project titled "Netherland Dwarf."
-
B.
John McDermott
John McDermott is a Scottish-Canadian tenor known for his interpretations of traditional Celtic and Irish songs and for his work with the Irish Tenors.
-
C.
Rusty Egan
Rusty Egan is a British musician, DJ, and producer best known for helping pioneer the New Romantic club scene in late 1970s and early 1980s London.
-
D.
Frank O'Rourke
Frank O'Rourke was an American novelist and short story writer best known for his Westerns and crime fiction, several of which were adapted into films.
-
E.
Marty Dwyer
Marty Dwyer is a comedic supporting character in the 1995 romantic comedy film "Nine Months," contributing to the movie’s lighthearted take on impending parenthood.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17283608190a8351b366cac5e4f |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde23ab6dc8190a8b1ef0377b74ed5 |
completed | May 8, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde60e72e88190bf56b3ddb3f77839 |
completed | May 8, 2026, 1:33 p.m. |
Created at: April 10, 2026, 1:27 a.m.