Triple
T8732100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F. M. Fulkerson |
E207280
|
entity |
| Predicate | relationshipToMagazine |
P84334
|
FINISHED |
| Object | promoter and organizer |
—
|
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: promoter and organizer | Statement: [F. M. Fulkerson, relationshipToMagazine, promoter and organizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMagazine Context triple: [F. M. Fulkerson, relationshipToMagazine, promoter and organizer]
-
A.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
B.
isOfficialMagazineOf
Indicates that a magazine is formally designated or recognized as the official publication representing a particular entity, organization, event, or group.
-
C.
relationshipToArticle41
Indicates the specific legal or contextual connection an entity has to Article 41 (such as being governed by, subject to, or derived from that article).
-
D.
editorRelationship
Indicates a relationship in which one entity serves as the editor of another entity, such as a work, document, or publication.
-
E.
transitionedToWeeklyMagazine
Indicates that an entity changed its publication frequency or format to become a weekly magazine.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc489dd528819084ed5d88bd8bb3d6 |
completed | March 31, 2026, 10:20 p.m. |
Created at: March 30, 2026, 6:37 p.m.