Triple
T3887710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Selling of Joseph |
E92982
|
entity |
| Predicate | notesOnRace |
P27296
|
FINISHED |
| Object | criticizes enslavement of Africans |
—
|
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: criticizes enslavement of Africans | Statement: [The Selling of Joseph, notesOnRace, criticizes enslavement of Africans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notesOnRace Context triple: [The Selling of Joseph, notesOnRace, criticizes enslavement of Africans]
-
A.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
B.
womenRaceInstanceOf
Indicates that a specific occurrence of a race event is one in which only women participate.
-
C.
womenRaceFirstEdition
Indicates that the subject participated in the women’s race of the first edition of a given event or competition.
-
D.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
E.
isNotedOn
chosen
Indicates that information about one entity is recorded, mentioned, or annotated on another entity (such as a document, record, or medium).
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeecabe3548190a5cbf9d0af0bcfb6 |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.