Triple
T6735373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ida Saxton McKinley |
E153740
|
entity |
| Predicate | causeOfDaughterDeaths |
P72649
|
FINISHED |
| Object | both daughters died in childhood |
—
|
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: both daughters died in childhood | Statement: [Ida Saxton McKinley, causeOfDaughterDeaths, both daughters died in childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDaughterDeaths Context triple: [Ida Saxton McKinley, causeOfDaughterDeaths, both daughters died in childhood]
-
A.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
B.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
C.
childDiedIn
Indicates that a child died within or as part of the specified event, situation, or context.
-
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.
diedInInfancy
Indicates that an individual died during infancy, before reaching early childhood.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d14e18d481908aaac34897c650f1 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:09 p.m.