Triple
T27344370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morton Salt Girl |
E684189
|
entity |
| Predicate | hasUpdatedDesigns |
P4061
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Morton Salt Girl, hasUpdatedDesigns, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpdatedDesigns Context triple: [Morton Salt Girl, hasUpdatedDesigns, true]
-
A.
hasDesignChange
Indicates that an entity has undergone a modification or alteration to its original design.
-
B.
hasDesignUpdatedDuringReignOf
Indicates that the design of an entity was modified or updated during the period when another entity was in power or held a ruling position.
-
C.
hasDesigned
Indicates that one entity is the creator or designer of another entity.
-
D.
isUpdated
chosen
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or a reference point.
-
E.
hasDifferentDesignsFor
Indicates that one entity provides or uses multiple distinct designs tailored for different other entities or contexts.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62ba0fedc8190b63a546f7d893676 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:44 a.m.