Triple
T20862315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Brodsky |
E513650
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Watermark |
—
|
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: Watermark | Statement: [Joseph Brodsky, notableWork, Watermark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watermark Context triple: [Joseph Brodsky, notableWork, Watermark]
-
A.
Watermark
Watermark is a 1988 studio album by Irish singer Enya that brought her international fame with its ethereal, layered sound and the hit single "Orinoco Flow."
-
B.
Watermark
chosen
"Watermark" is a lyrical prose work by Joseph Brodsky that reflects on his deep, meditative relationship with the city of Venice.
-
C.
Watermark
Watermark is a 1977 soft rock album by Art Garfunkel that features his hit single "Crying in My Sleep" and showcases his signature melodic vocal style.
-
D.
Forty Water
Forty Water is a nickname for E-40, the influential Bay Area rapper and entrepreneur known for his unique slang and prolific output.
-
E.
By a Waterfall
"By a Waterfall" is a lavish Busby Berkeley-choreographed musical number from the 1933 Warner Bros. film *Footlight Parade*, renowned for its elaborate aquatic ballet and geometric chorus line patterns.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.