Triple
T28655674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosemary Woodhouse |
E725323
|
entity |
| Predicate | pregnancy |
P41127
|
FINISHED |
| Object | central plot element |
—
|
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: central plot element | Statement: [Rosemary Woodhouse, pregnancy, central plot element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pregnancy Context triple: [Rosemary Woodhouse, pregnancy, central plot element]
-
A.
pregnantBy
Indicates that one entity is carrying a pregnancy that was biologically conceived by another specified entity.
-
B.
hasStageOfPregnancy
Indicates that an entity is in, or associated with, a specific stage or phase of pregnancy.
-
C.
gestationPeriod
Indicates the length of time an organism develops in the womb or equivalent structure from conception to birth.
-
D.
isPregnantIn
chosen
Indicates that an entity is in a state of pregnancy during a specified time or within a particular context.
-
E.
hasPregnancyRisk
Indicates that one entity poses or is associated with a potential risk of causing pregnancy for another entity.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:55 a.m.