Triple
T10897589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ming Lee |
E257350
|
entity |
| Predicate | transformationTriggeredBy |
P55105
|
FINISHED |
| Object | strong emotions |
—
|
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: strong emotions | Statement: [Ming Lee, transformationTriggeredBy, strong emotions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationTriggeredBy Context triple: [Ming Lee, transformationTriggeredBy, strong emotions]
-
A.
triggeredFrom
chosen
Indicates that one event, action, or process was initiated or caused as a result of another specific event, action, or process.
-
B.
transformedDuring
Indicates that an entity undergoes a change in form, state, or structure within the duration of a specified event or process.
-
C.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
D.
hasTransformation
Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
-
E.
transformationRelation
Indicates a relationship where one entity is changed, converted, or transformed into another entity or state.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.