Triple
T37863587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miranda Grey |
E944401
|
entity |
| Predicate | hasDiarySectionsIn |
P200783
|
FINISHED |
| Object | The Collector |
—
|
NE NERFINISHED |
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: The Collector | Statement: [Miranda Grey, hasDiarySectionsIn, The Collector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiarySectionsIn Context triple: [Miranda Grey, hasDiarySectionsIn, The Collector]
-
A.
diaryWrittenIn
Indicates that a diary is composed or recorded using a particular language or writing system.
-
B.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
C.
hasGeneralChapter
Indicates that an entity is associated with, or contains, a general chapter (a broad or overarching section) within a larger structured document or framework.
-
D.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or context.
-
E.
diaryLocation
Indicates the place where a diary is kept, stored, or situated.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
| PDg | Predicate description generation | batch_69ffac34c5948190be36de5781d91da3 |
completed | May 9, 2026, 9:50 p.m. |
Created at: May 3, 2026, 4:19 p.m.