Triple
T34618678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Slightly Pregnant Man |
E888936
|
entity |
| Predicate | featuresUnconventionalPregnancy |
P204229
|
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: [A Slightly Pregnant Man, featuresUnconventionalPregnancy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresUnconventionalPregnancy Context triple: [A Slightly Pregnant Man, featuresUnconventionalPregnancy, true]
-
A.
pregnancyWith
Indicates that one entity is pregnant with, or carrying in utero, another entity.
-
B.
portraysPregnancyOf
Indicates that one entity visually or narratively represents the state of pregnancy of another entity.
-
C.
hasPregnancyRisk
Indicates that one entity poses or is associated with a potential risk of causing pregnancy for another entity.
-
D.
isPregnant
Indicates that an entity is currently carrying a developing offspring within its body.
-
E.
isPregnantIn
Indicates that an entity is in a state of pregnancy during a specified time or within a particular context.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a035052a47081908e9e56e21c543d46 |
completed | May 12, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_6a034d306e588190a2dce906fd46eb54 |
completed | May 12, 2026, 3:54 p.m. |
| PDg | Predicate description generation | batch_6a035051a02481909e2a6868f9253a92 |
completed | May 12, 2026, 4:07 p.m. |
Created at: May 1, 2026, 2:03 a.m.