Triple
T23979340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Hipwell |
E604461
|
entity |
| Predicate | pregnantAtTimeOfDeath |
P97984
|
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: [Megan Hipwell, pregnantAtTimeOfDeath, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pregnantAtTimeOfDeath Context triple: [Megan Hipwell, pregnantAtTimeOfDeath, true]
-
A.
hasUnbornChildAtDeath
chosen
Indicates that, at the time of an individual’s death, they had at least one child who had been conceived but was not yet born.
-
B.
pregnantAtAge
Indicates that an entity is pregnant at a specified age.
-
C.
pregnantBy
Indicates that one entity is carrying a pregnancy that was biologically conceived by another specified entity.
-
D.
diedInChildbirthContext
Indicates that the person died as a result of complications occurring during pregnancy, labor, or shortly after childbirth within the specified context.
-
E.
ageAtConception
Indicates the age of a parent at the time a particular child was conceived.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bc79688190bc98a2d57b91f5a3 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:27 p.m.