Triple
T19401200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time magazine Top 10 Books of 2006 |
E485328
|
entity |
| Predicate | isEditorialContent |
P18800
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Time magazine Top 10 Books of 2006, isEditorialContent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEditorialContent Context triple: [Time magazine Top 10 Books of 2006, isEditorialContent, true]
-
A.
hasEditorialContent
chosen
Indicates that an entity includes or is associated with editorially created or curated content, such as articles, commentary, or opinion pieces.
-
B.
hasEditorialPage
Indicates that an entity (typically a publication) includes or is associated with an editorial page.
-
C.
hasEditorialFocus
Indicates that an entity (such as a publication or section) is primarily concerned with or oriented around a particular editorial topic, theme, or subject area.
-
D.
hasEditorialMission
Indicates that an entity maintains or follows a defined editorial mission or guiding editorial policy.
-
E.
hasEditorialStyle
Indicates that one entity possesses, applies, or is characterized by a particular editorial style defined by another entity.
- F. None of above.
Provenance (3 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577454c81909d5bcd07e99b27e4 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:36 p.m.