Triple
T37222744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel J. May Anti-Slavery Collection |
E922928
|
entity |
| Predicate | collectsGenre |
P37316
|
FINISHED |
| Object | anti-slavery tracts |
—
|
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: anti-slavery tracts | Statement: [Samuel J. May Anti-Slavery Collection, collectsGenre, anti-slavery tracts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsGenre Context triple: [Samuel J. May Anti-Slavery Collection, collectsGenre, anti-slavery tracts]
-
A.
commonGenre
Indicates that two entities share at least one genre in common.
-
B.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
C.
genreOfCollection
chosen
Indicates that a specified genre categorizes or characterizes a particular collection.
-
D.
commonGenreContext
Indicates that two or more entities share a similar or related genre context, such as belonging to the same or closely related genres.
-
E.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:15 p.m.