Triple
T30579778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Rodriguez Smith |
E778350
|
entity |
| Predicate | numberOfChildrenAtDeath |
P202446
|
FINISHED |
| Object | unborn child |
—
|
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: unborn child | Statement: [Monica Rodriguez Smith, numberOfChildrenAtDeath, unborn child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChildrenAtDeath Context triple: [Monica Rodriguez Smith, numberOfChildrenAtDeath, unborn child]
-
A.
childDeaths
Indicates that one or more children of the referenced entity have died.
-
B.
numberOfChildrenSurvivors
Indicates the count of children who survived a particular event, condition, or situation.
-
C.
diedInInfancy
Indicates that an individual died during infancy, before reaching early childhood.
-
D.
childDiedIn
Indicates that a child died within or as part of the specified event, situation, or context.
-
E.
diedInChildhood
Indicates that the person died before reaching adulthood, during their childhood years.
- 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_6a008098e5dc8190b7ccad8bab780343 |
completed | May 10, 2026, 12:56 p.m. |
| PD | Predicate disambiguation | batch_6a008037267c8190990225a6ff0b3694 |
completed | May 10, 2026, 12:55 p.m. |
| PDg | Predicate description generation | batch_6a00809836f081908de40255d4f4d525 |
completed | May 10, 2026, 12:56 p.m. |
Created at: April 29, 2026, 8:23 p.m.