Triple
T19771544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollak |
E474899
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Pollock |
—
|
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: Pollock | Statement: [Pollak, hasVariant, Pollock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pollock Context triple: [Pollak, hasVariant, Pollock]
-
A.
Pollock
chosen
Pollock is a surname of Scottish origin borne by various notable individuals across fields such as art, politics, and academia.
-
B.
Pollack
Pollack is a surname most notably associated with American film director, producer, and actor Sydney Pollack.
-
C.
Fiske
Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
-
D.
Klee Wyck
Klee Wyck is a collection of autobiographical stories by Canadian artist and writer Emily Carr, recounting her experiences with Indigenous peoples and the landscapes of the Pacific Northwest.
-
E.
Diebenkorn
Diebenkorn is a surname most prominently associated with American painter Richard Diebenkorn, a leading figure in 20th-century abstract and figurative art.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535bd8c0819097671783962b6bc5 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.