Triple
T3398720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flanagan |
E71593
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian Flanagan
Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
|
E381469
|
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: Brian Flanagan | Statement: [Flanagan, hasNotableBearer, Brian Flanagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Flanagan Context triple: [Flanagan, hasNotableBearer, Brian Flanagan]
-
A.
Brian Callaghan
Brian Callaghan is a personal name shared by multiple individuals, typically of Irish or British origin, who may be notable in various professional or public contexts.
-
B.
John Flanagan
John Flanagan was an American sculptor best known for designing the portrait of George Washington used on the U.S. quarter.
-
C.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- 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: Brian Flanagan Triple: [Flanagan, hasNotableBearer, Brian Flanagan]
Generated description
Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Flanagan Target entity description: Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
-
A.
Brian Callaghan
Brian Callaghan is a personal name shared by multiple individuals, typically of Irish or British origin, who may be notable in various professional or public contexts.
-
B.
John Flanagan
John Flanagan was an American sculptor best known for designing the portrait of George Washington used on the U.S. quarter.
-
C.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c5816881909f91e6e9b81d29e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdc9089481909e9ef5f5e7edeaa6 |
completed | March 14, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69b4cf5535748190b5dc3f23d1692e51 |
completed | March 14, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cfc29a18819087935c16f6ecd9e4 |
completed | March 14, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:14 p.m.