Triple
T6919742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saladin Chamcha |
E160151
|
entity |
| Predicate | undergoesTransformation |
P65473
|
FINISHED |
| Object | devilish creature |
—
|
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: devilish creature | Statement: [Saladin Chamcha, undergoesTransformation, devilish creature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergoesTransformation Context triple: [Saladin Chamcha, undergoesTransformation, devilish creature]
-
A.
transformedDuring
Indicates that an entity undergoes a change in form, state, or structure within the duration of a specified event or process.
-
B.
bodyTransformedInto
chosen
Indicates that one entity’s physical form is changed or converted into another specified form or entity.
-
C.
undergoing
Indicates that an entity is currently experiencing, being subjected to, or in the process of a particular action, change, or treatment.
-
D.
transformsUnder
Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
-
E.
underwent
Indicates that an entity experienced or was subjected to a process, event, or change, typically as the patient of an action.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9f8fc888190949d5779ccbe91e6 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.