Triple
T9342279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Liet-Kynes |
E224790
|
entity |
| Predicate | adaptationChangeFromSource |
P38005
|
FINISHED |
| Object | gender-swapped from male to female in 2021 film |
—
|
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: gender-swapped from male to female in 2021 film | Statement: [Dr. Liet-Kynes, adaptationChangeFromSource, gender-swapped from male to female in 2021 film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationChangeFromSource Context triple: [Dr. Liet-Kynes, adaptationChangeFromSource, gender-swapped from male to female in 2021 film]
-
A.
changedFrom
Indicates that an entity previously had one state, value, or form and was altered or updated from that prior condition to a new one.
-
B.
adaptsFrom
Indicates that one entity is derived, modified, or transformed from another, preserving core elements while changing form, medium, or context.
-
C.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
-
D.
changeType
chosen
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
E.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb11cd08190b159a6066dd0ebf1 |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.