Triple
T23210410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Bresnahan |
E580576
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bresnahan |
—
|
NE NERFINISHED |
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: Bresnahan | Statement: [Roger Bresnahan, familyName, Bresnahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bresnahan Context triple: [Roger Bresnahan, familyName, Bresnahan]
-
A.
Bresnahan
chosen
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
-
B.
Brenan
Brenan is a given name and surname that serves as a spelling variant of Brennen.
-
C.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
D.
Paxton
Paxton is a central character in the horror film "Hostel," portrayed as an American tourist whose vacation in Europe turns into a brutal fight for survival.
-
E.
Paxton
Paxton is a small town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191614bc4819080938752d843dcc6 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.