Triple
T10286536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winkies |
E241241
|
entity |
| Predicate | statusBeforeRescue |
P93262
|
FINISHED |
| Object | enslaved |
—
|
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: enslaved | Statement: [Winkies, statusBeforeRescue, enslaved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBeforeRescue Context triple: [Winkies, statusBeforeRescue, enslaved]
-
A.
statusBeforeAdoption
Indicates the condition or state something was in prior to being adopted or formally accepted.
-
B.
rescuedInFormOf
Indicates that one entity is rescued, saved, or recovered specifically in the form, state, or manifestation represented by another entity.
-
C.
rescuesContext
Indicates that one entity saves or delivers another entity from danger, harm, or a problematic situation within a specific contextual setting.
-
D.
usedMeansToRescue
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
-
E.
rescuedLocation
Indicates the place where a rescue action occurred or from which someone or something was rescued.
- F. None of above. chosen
Provenance (4 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.