Triple
T13258395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Miller |
E315723
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Omar Miller |
E315723
|
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: Omar Miller | Statement: [Omar Miller, name, Omar Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar Miller Context triple: [Omar Miller, name, Omar Miller]
-
A.
Omar Miller
chosen
Omar Miller is an American actor known for his roles in film and television, including a prominent part in the HBO series "Ballers."
-
B.
Omarr Smith
Omarr Smith is an American football coach and former Arena Football League defensive back best known for his successful coaching stints, including leading multiple AFL teams.
-
C.
Miles Ocampo
Miles Ocampo is a Filipino actress, model, and television host known for her work in Philippine film and TV, including long-running variety and drama programs.
-
D.
Jeremy Miller
Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
-
E.
Justin O’Brien
Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a444b4c8190a5dd95460ac96cc7 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.