Triple
T22976023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Bleckner |
E571317
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Medium |
—
|
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: Medium | Statement: [Jeff Bleckner, notableWork, Medium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medium Context triple: [Jeff Bleckner, notableWork, Medium]
-
A.
Medium
chosen
Medium is a supernatural drama television series centered on a woman who uses her psychic abilities to help solve crimes.
-
B.
Medium
Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
-
C.
Middle
"Middle" is a 2015 melodic electronic dance track by French producer DJ Snake featuring vocals from Bipolar Sunshine.
-
D.
MID
MID is the stock ticker symbol for the S&P MidCap 400 Index, which tracks the performance of medium-sized U.S. companies.
-
E.
MID
MID is a publicly owned utility in California’s Central Valley that provides irrigation water and electric power to the Modesto area.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.