Triple
T21721601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Buckley |
E536169
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Oliver Stark |
—
|
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: Oliver Stark | Statement: [Evan Buckley, portrayedBy, Oliver Stark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Stark Context triple: [Evan Buckley, portrayedBy, Oliver Stark]
-
A.
Oliver Stark
chosen
Oliver Stark is a British actor best known for playing firefighter Evan "Buck" Buckley on the television drama series 9-1-1.
-
B.
Oliver Blake
Oliver Blake was an American character actor known for his supporting roles in mid-20th-century films and stage productions.
-
C.
Oliver Lambert
Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
-
D.
Oliver Johnson
Oliver Johnson was a prominent 19th-century American abolitionist, editor, and reformer active in the anti-slavery movement.
-
E.
Oliver Nolan
Oliver Nolan is one of the children of British film producer Emma Thomas and her husband, acclaimed director Christopher Nolan.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96f1fbc8190a202f834aec1a319 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.