Triple
T1817985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deyvi Peña |
E40477
|
entity |
| Predicate | spouseDateOfDeath |
P32627
|
FINISHED |
| Object | 2020-10-20 |
—
|
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: 2020-10-20 | Statement: [Deyvi Peña, spouseDateOfDeath, 2020-10-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseDateOfDeath Context triple: [Deyvi Peña, spouseDateOfDeath, 2020-10-20]
-
A.
firstHusbandDeath
Indicates that the woman's first husband has died, marking the end of that marital relationship by his death.
-
B.
spouseRelationshipEnd
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
C.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
D.
dateOfDeath
Indicates the specific date on which an individual or entity died.
-
E.
metSpouseAt
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.