Triple
T26363785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Documentary History of the Negro People in the United States |
E660276
|
entity |
| Predicate | isMultiVolumeWork |
P148476
|
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: [A Documentary History of the Negro People in the United States, isMultiVolumeWork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMultiVolumeWork Context triple: [A Documentary History of the Negro People in the United States, isMultiVolumeWork, true]
-
A.
hasThreeVolumeStructureRole
Indicates that an entity participates in or fulfills a role within a three-volume structural organization or framework.
-
B.
hasMultipleWorking
Indicates that an entity is associated with more than one working instance, role, or configuration simultaneously.
-
C.
isMultiSectional
chosen
Indicates that something is composed of or divided into multiple distinct sections or parts.
-
D.
hasNumberOfPartsInWholeWork
Indicates that an entity specifies how many component parts are contained within a complete work.
-
E.
isStandaloneWork
Indicates that a work exists independently and is not part of a larger series, collection, or multi-part work.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f61029fff08190b5a3a63e755707d9 |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:53 p.m.