Triple
T3066449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Object of My Affection |
E62113
|
entity |
| Predicate | featuresPregnancyTheme |
P20708
|
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: [The Object of My Affection, featuresPregnancyTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPregnancyTheme Context triple: [The Object of My Affection, featuresPregnancyTheme, true]
-
A.
isPregnantIn
Indicates that an entity is in a state of pregnancy during a specified time or within a particular context.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
gestationPeriod
Indicates the length of time an organism develops in the womb or equivalent structure from conception to birth.
-
D.
hasPregnancyCategory
Indicates the classification of a drug or substance based on its known or potential risks when used during pregnancy.
-
E.
themedAs
chosen
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.