Triple
T7545892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan-Michael Cox |
E178400
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bryan-Michael |
E115807
|
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: Bryan-Michael | Statement: [Bryan-Michael Cox, givenName, Bryan-Michael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan-Michael Context triple: [Bryan-Michael Cox, givenName, Bryan-Michael]
-
A.
Bryan
Bryan is a masculine given name of Celtic origin that is widely used in English-speaking countries.
-
B.
Bryan
Bryan is a mid-sized city in Central Texas known for its close association with neighboring College Station and Texas A&M University.
-
C.
Micheal
chosen
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
D.
Blake Michael
Blake Michael is an American actor and musician best known for his role in the Disney Channel film "Lemonade Mouth."
-
E.
Mychael
Mychael is a Canadian film composer best known for his evocative, world music–influenced scores, including the Academy Award–winning soundtrack for "Life of Pi."
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.