Triple
T36878921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Mitchell |
E911419
|
entity |
| Predicate | hasPregnancy |
P166241
|
FINISHED |
| Object | pregnant at start of Malignant |
—
|
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: pregnant at start of Malignant | Statement: [Madison Mitchell, hasPregnancy, pregnant at start of Malignant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPregnancy Context triple: [Madison Mitchell, hasPregnancy, pregnant at start of Malignant]
-
A.
isPregnant
chosen
Indicates that an entity is currently carrying a developing offspring within its body.
-
B.
hasStageOfPregnancy
Indicates that an entity is in, or associated with, a specific stage or phase of pregnancy.
-
C.
wasPregnant
Indicates that an entity experienced a state of pregnancy at some time in the past.
-
D.
isPregnantIn
Indicates that an entity is in a state of pregnancy during a specified time or within a particular context.
-
E.
pregnantBy
Indicates that one entity is carrying a pregnancy that was biologically conceived by another specified 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.