Triple
T3398721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flanagan |
E71593
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kevin Flanagan
Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various fields.
|
E384614
|
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: Kevin Flanagan | Statement: [Flanagan, hasNotableBearer, Kevin Flanagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Flanagan Context triple: [Flanagan, hasNotableBearer, Kevin Flanagan]
-
A.
Brian Flanagan
Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
-
B.
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.
-
C.
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.
-
D.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
-
E.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
- 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: Kevin Flanagan Triple: [Flanagan, hasNotableBearer, Kevin Flanagan]
Generated description
Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Flanagan Target entity description: Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
A.
Brian Flanagan
Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
-
B.
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.
-
C.
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.
-
D.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
-
E.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
- 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_69b4daed138081908f2e5b0a3e6b9672 |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4db9266f881908e31c7646b8c861c |
completed | March 14, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4df53bb648190af6507919fd4d59d |
completed | March 14, 2026, 4:08 a.m. |
Created at: March 8, 2026, 3:14 p.m.