Triple
T6719198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephine Bruin |
E153351
|
entity |
| Predicate | representsAs |
P72867
|
FINISHED |
| Object | anthropomorphic bear |
—
|
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: anthropomorphic bear | Statement: [Josephine Bruin, representsAs, anthropomorphic bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsAs Context triple: [Josephine Bruin, representsAs, anthropomorphic bear]
-
A.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
B.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
-
C.
representedTo
Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
-
D.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
E.
representsForCharacters
Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
- F. None of above. chosen
Provenance (4 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d135d27c819088c45839ad0e7bab |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d11fab808190b18160ff3829fcc6 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:07 p.m.