Triple
T7554357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long Good Friday |
E178621
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Pierce Brosnan |
E49520
|
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: Pierce Brosnan | Statement: [The Long Good Friday, starring, Pierce Brosnan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierce Brosnan Context triple: [The Long Good Friday, starring, Pierce Brosnan]
-
A.
Pierce Brosnan
chosen
Pierce Brosnan is an Irish actor best known for portraying James Bond in a series of films from the 1990s and early 2000s, as well as for roles in movies like "Mrs. Doubtfire" and "Mamma Mia!".
-
B.
Sean Brosnan
Sean Brosnan is an American actor and filmmaker, best known as the son of Irish actor Pierce Brosnan.
-
C.
Paris Brosnan
Paris Brosnan is an American model and filmmaker, best known as the son of actor Pierce Brosnan and for his work in fashion and humanitarian projects.
-
D.
Dylan Brosnan
Dylan Brosnan is an American model, musician, and filmmaker, best known as one of the sons of actor Pierce Brosnan.
-
E.
Sean Connery
Sean Connery was a Scottish actor best known for originating the role of James Bond on film and for his distinguished career in both mainstream and critically acclaimed cinema.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856be6e1c8190ba292d4d9cf1f37f |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:49 p.m.