Triple
T34554676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Dunne |
E887168
|
entity |
| Predicate | communicationFormInNovel |
P2798
|
FINISHED |
| Object | letters |
—
|
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: letters | Statement: [Rosie Dunne, communicationFormInNovel, letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationFormInNovel Context triple: [Rosie Dunne, communicationFormInNovel, letters]
-
A.
communicationControlInFiction
Indicates a fictional work features control, restriction, or manipulation of communication as a significant element of its narrative or setting.
-
B.
communicationChannel
chosen
Indicates a medium or method through which information is transmitted between parties.
-
C.
communicationFunction
Indicates that one entity serves a communicative role or purpose in relation to another, such as conveying, mediating, or facilitating the exchange of information.
-
D.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
E.
communicationStrategy
Indicates the method or approach used to convey information or messages between parties.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72ad38a208190b4bdc828297f86ad |
completed | May 3, 2026, 11 a.m. |
| PD | Predicate disambiguation | batch_69f72a0243988190a43b8ea22457cd30 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 2:02 a.m.