Triple
T8190464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Oliver |
E191289
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oliver |
E678924
|
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: Oliver | Statement: [Pam Oliver, familyName, Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Context triple: [Pam Oliver, familyName, Oliver]
-
A.
Oliver
Oliver is the given name of Oliver Wendell Holmes Sr., a prominent 19th-century American physician, poet, and essayist.
-
B.
Oliver
Oliver is a small town in British Columbia’s Okanagan Valley, known for its vineyards and wineries and often called the "Wine Capital of Canada."
-
C.
Oliver
Oliver is a character in Shakespeare's comedy "As You Like It," known as Orlando's cruel elder brother who later undergoes a significant moral transformation.
-
D.
Oliver
Oliver is one of the central teen protagonists in the Disney XD series "Mighty Med," known for his encyclopedic knowledge of superheroes and role as a young doctor-in-training at a secret superhero hospital.
-
E.
Oliver
chosen
Oliver is a common English-language surname of medieval origin, borne by numerous notable individuals across politics, sports, arts, and entertainment.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd67c5853c8190843e7520f3be73b2 |
completed | April 1, 2026, 6:45 p.m. |
Created at: March 30, 2026, 5:41 p.m.