Triple
T28545662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Safire |
E722428
|
entity |
| Predicate | columnIn |
P164624
|
FINISHED |
| Object | The New York Times Magazine |
—
|
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: The New York Times Magazine | Statement: [William Safire, columnIn, The New York Times Magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnIn Context triple: [William Safire, columnIn, The New York Times Magazine]
-
A.
column
Indicates a vertical structural element that supports or separates parts within a larger construction or arrangement.
-
B.
columnOrder
Indicates the relative sequencing or arrangement of columns within a structured layout or dataset.
-
C.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
D.
columnTitle
Indicates that one entity serves as the title or header label for a column associated with another entity.
-
E.
oneMoreColumnLies
Indicates that one entity is positioned exactly one column to the right or left of another entity.
- F. None of above. chosen
Provenance (4 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500cefa88190a7e9464fc428bc23 |
completed | May 2, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:39 a.m.