Triple
T6959273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Patrick Flanery |
E161327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sean Patrick Flanery |
E161327
|
NE FINISHED |
How this triple was built (2 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: Sean Patrick Flanery | Statement: [Sean Patrick Flanery, name, Sean Patrick Flanery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Patrick Flanery Context triple: [Sean Patrick Flanery, name, Sean Patrick Flanery]
-
A.
Sean Patrick Flanery
chosen
Sean Patrick Flanery is an American actor best known for his roles in films like "The Boondock Saints" and the TV series "The Young Indiana Jones Chronicles."
-
B.
Peter Flannery
Peter Flannery is a British playwright and screenwriter best known for his influential television drama work, including the acclaimed series "Our Friends in the North."
-
C.
Brian Flanagan
Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
-
D.
Kevin Flanagan
Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Mark Flanagan
Mark Flanagan is a name shared by several notable individuals, including figures in politics, media, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daedbb4c8190b46846fb1265b937 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75893a4808190b94a70d8823a01d3 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.