Triple
T13667788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Frissell |
E327666
|
entity |
| Predicate | hasIdea |
P111071
|
FINISHED |
| Object | American women will like his British accent |
—
|
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: American women will like his British accent | Statement: [Colin Frissell, hasIdea, American women will like his British accent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdea Context triple: [Colin Frissell, hasIdea, American women will like his British accent]
-
A.
hasBrightIdea
Indicates that an entity conceives or possesses a clever, insightful, or innovative idea.
-
B.
hasAuthorIdea
Indicates that an author is associated with or responsible for originating a particular idea.
-
C.
anticipatesIdeaIn
Indicates that one entity expects, predicts, or foresees the idea or concept that will be introduced or held by another entity in a given context.
-
D.
hasEconomicIdea
Indicates that an entity possesses, proposes, or is associated with a particular economic concept, theory, or viewpoint.
-
E.
hasProposal
Indicates that an entity possesses, is associated with, or is the subject of a specific proposal.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:52 p.m.