Triple
T5461301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalia Goncharova |
E122598
|
entity |
| Predicate | causeOfSpouseDeath |
P32362
|
FINISHED |
| Object | duel-related gunshot wound |
—
|
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: duel-related gunshot wound | Statement: [Natalia Goncharova, causeOfSpouseDeath, duel-related gunshot wound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfSpouseDeath Context triple: [Natalia Goncharova, causeOfSpouseDeath, duel-related gunshot wound]
-
A.
spousePlaceOfDeath
Indicates the location where a person's spouse died.
-
B.
spouseDateOfDeath
Indicates the date on which a person's spouse died.
-
C.
spouseDeathContext
chosen
Indicates the circumstances or contextual details surrounding the death of a person’s spouse.
-
D.
firstHusbandDeath
Indicates that the woman's first husband has died, marking the end of that marital relationship by his death.
-
E.
marriedToUntilDeathOfSpouse
Indicates a marital relationship that is intended to remain in effect until the death of one of the spouses.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.