Triple
T23170219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay DeMarcus |
E578832
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | DeMarcus |
—
|
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: DeMarcus | Statement: [Jay DeMarcus, familyName, DeMarcus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeMarcus Context triple: [Jay DeMarcus, familyName, DeMarcus]
-
A.
DeMarcus
chosen
DeMarcus is a masculine given name notably borne by former NFL star linebacker and defensive end DeMarcus Ware.
-
B.
DaMarcus
DaMarcus is an American former professional soccer player best known for his long international career with the United States men’s national team and appearances in four FIFA World Cups.
-
C.
Chris Demetral
Chris Demetral is an American actor best known for his work in film and television during the 1990s, including prominent roles in genre and family-oriented productions.
-
D.
Deshaun
Deshaun is the first name of Deshaun Watson, an American professional football quarterback in the NFL.
-
E.
Marcus Dixon
Marcus Dixon is a fictional CIA agent and close ally of protagonist Sydney Bristow in the television series "Alias."
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2f10208190b3a0f9a4c790cb0a |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.