Triple
T23249797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCary |
E581700
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Michael Sean McCary |
—
|
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: Michael Sean McCary | Statement: [McCary, hasNotableBearer, Michael Sean McCary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Sean McCary Context triple: [McCary, hasNotableBearer, Michael Sean McCary]
-
A.
Jacob McCarthy
Jacob McCarthy is an Irish actor best known for his role in the NBC sitcom "A.P. Bio."
-
B.
Kevin McCann
Kevin McCann is a voice actor who contributed to the animated film "Puss in Boots: The Last Wish."
-
C.
Cullen McCarthy
Cullen McCarthy is an American voice actor known for his roles in animated television series and films.
-
D.
Michael McCary
chosen
Michael McCary is an American bass singer best known as a former member of the R&B group Boyz II Men.
-
E.
Neil McCarthy
Neil McCarthy was a British character actor known for his distinctive appearance and roles in film and television, including fantasy and historical epics.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f4d7e4819085eec6279696db34 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.