Triple
T18435709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cindy Crawford as George Washington cover (first issue) |
E450384
|
entity |
| Predicate | magazineIssueNumber |
P131590
|
FINISHED |
| Object | first issue |
—
|
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: first issue | Statement: [Cindy Crawford as George Washington cover (first issue), magazineIssueNumber, first issue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magazineIssueNumber Context triple: [Cindy Crawford as George Washington cover (first issue), magazineIssueNumber, first issue]
-
A.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
B.
currentIssue
Indicates that an entity is the presently relevant or active issue in a given context or discussion.
-
C.
lastAppearedInIssue
Indicates the most recent issue (such as of a publication or series) in which the entity appeared.
-
D.
isOfficialMagazineOf
Indicates that a magazine is formally designated or recognized as the official publication representing a particular entity, organization, event, or group.
-
E.
lastYearOfRegularIssue
Indicates the final year in which something was issued or produced on a regular, standard, or non-special basis.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0cd30c8190b8417c264e60d3a5 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:28 a.m.