Triple
T30579777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Rodriguez Smith |
E778350
|
entity |
| Predicate | wasPregnant |
P169871
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Monica Rodriguez Smith, wasPregnant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPregnant Context triple: [Monica Rodriguez Smith, wasPregnant, true]
-
A.
isPregnant
Indicates that an entity is currently carrying a developing offspring within its body.
-
B.
pregnantBy
Indicates that one entity is carrying a pregnancy that was biologically conceived by another specified entity.
-
C.
isPregnantIn
Indicates that an entity is in a state of pregnancy during a specified time or within a particular context.
-
D.
hasStageOfPregnancy
Indicates that an entity is in, or associated with, a specific stage or phase of pregnancy.
-
E.
hasSurrogatePregnancyFor
Indicates that one entity is carrying a pregnancy on behalf of another entity, typically with the intention of giving the resulting child to that other entity.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6894176d0819096fe66b9baab66f1 |
completed | May 2, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:23 p.m.