Triple
T10974781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Parker |
E259340
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oliver |
E805168
|
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: [Oliver Parker, givenName, Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Context triple: [Oliver Parker, givenName, 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 central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient monastic order promising immortality at a deadly price.
-
D.
Oliver
Oliver is the given first name of Olli Wisdom, the British musician and prominent figure in the psychedelic trance scene.
-
E.
Oliver
chosen
Oliver is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f3794c8190b1992b4695139b62 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7aeb66c8190b9d18642b2ad2ea0 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.