Triple
T4389604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strand Magazine |
E99328
|
entity |
| Predicate | editorInChiefTo |
P19440
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [The Strand Magazine, editorInChiefTo, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorInChiefTo Context triple: [The Strand Magazine, editorInChiefTo, 1930]
-
A.
formerEditorInChief
Indicates that a person previously held, but no longer holds, the position of editor-in-chief of a publication or organization.
-
B.
namedEditorInChief
chosen
Indicates that one entity has been designated to serve in the role of editor-in-chief for another entity, such as a publication or organization.
-
C.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
D.
editorialRole
Indicates that one entity holds an editorial position or responsibility in relation to another entity, such as a publication, work, or organization.
-
E.
editorName
Indicates the relationship that specifies the name of an editor associated with a given 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35282cb2c8190856da20bb87e88ff |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.