Triple
T9251219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nupedia |
E222326
|
entity |
| Predicate | targetAuthors |
P87784
|
FINISHED |
| Object | subject-matter experts |
—
|
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: subject-matter experts | Statement: [Nupedia, targetAuthors, subject-matter experts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAuthors Context triple: [Nupedia, targetAuthors, subject-matter experts]
-
A.
authors
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
B.
eligibleAuthors
Indicates that certain authors meet the required conditions or criteria to qualify for a specified role, status, or action.
-
C.
authorsDescribedBy
Indicates that an entity serves as a descriptive account or characterization of one or more authors.
-
D.
includesAuthorsFrom
Indicates that one entity contains or incorporates authors who are also associated with another entity.
-
E.
canonicalAuthor
Indicates that an entity is the officially recognized or standard author of a given work or resource.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f9ade48190ac8425a1c6f066b1 |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:31 p.m.