Triple
T23611803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister |
E583058
|
entity |
| Predicate | treatmentOfCelie |
P115098
|
FINISHED |
| Object | abusive |
—
|
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: abusive | Statement: [Mister, treatmentOfCelie, abusive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentOfCelie Context triple: [Mister, treatmentOfCelie, abusive]
-
A.
teachesCelie
Indicates that one entity provides instruction or education to Celie.
-
B.
relationshipToCelie
chosen
Indicates a relational connection that someone or something has specifically with Celie, such as their role, bond, or association to her.
-
C.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
D.
wifePunishedAs
Indicates that a wife is subjected to punishment in a particular manner or role specified by the related entity or context.
-
E.
roleInPatriarchalNarratives
Indicates how an entity functions within, reinforces, challenges, or is positioned by patriarchal storylines, structures, or discourses.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f4606881908207114c5bcfe6a6 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.