Triple
T22407806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Ijeawele, or A Feminist Manifesto in Fifteen Suggestions |
E553921
|
entity |
| Predicate | numberOfSuggestions |
P56131
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Dear Ijeawele, or A Feminist Manifesto in Fifteen Suggestions, numberOfSuggestions, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuggestions Context triple: [Dear Ijeawele, or A Feminist Manifesto in Fifteen Suggestions, numberOfSuggestions, 15]
-
A.
numberOfRecommendations
chosen
Indicates the quantity of recommendations associated with or given to a particular entity or item.
-
B.
hasRecommendationNumber
Indicates that an entity is associated with a specific recommendation identified by a particular number.
-
C.
numberOfRemarks
Indicates the total count of remarks or comments associated with a given entity or event.
-
D.
numberOfPropositions
Indicates the total count of distinct propositions associated with or contained within a given entity or context.
-
E.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158ba1c6481908e4b9b3635ed3a49 |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.