Triple
T9740388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knick Knack |
E236170
|
entity |
| Predicate | contentChange |
P68293
|
FINISHED |
| Object | character designs of female souvenirs were toned down in the 2003 version |
—
|
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: character designs of female souvenirs were toned down in the 2003 version | Statement: [Knick Knack, contentChange, character designs of female souvenirs were toned down in the 2003 version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentChange Context triple: [Knick Knack, contentChange, character designs of female souvenirs were toned down in the 2003 version]
-
A.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
B.
compositionChanged
Indicates that the makeup or constituent elements of something have been altered from a previous state.
-
C.
editedIn
chosen
Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
-
D.
notableChange
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
E.
surfaceChange
Indicates a change in the physical surface characteristics or condition of an entity over time or due to some event or interaction.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f29a5bc8190b2b391017405c71e |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.