Triple
T351136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elsa Einstein |
E7444
|
entity |
| Predicate | yearMarriedAlbertEinstein |
P198
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Elsa Einstein, yearMarriedAlbertEinstein, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearMarriedAlbertEinstein Context triple: [Elsa Einstein, yearMarriedAlbertEinstein, 1919]
-
A.
yearOfEinsteinsAnnusMirabilis
Indicates the specific calendar year in which Einstein's "Annus Mirabilis" (miracle year of groundbreaking scientific publications) occurred.
-
B.
einsteinSignedOn
Indicates that Einstein formally agreed to, endorsed, or placed his signature on a specified document, proposal, or agreement.
-
C.
marriageDate
chosen
Indicates the specific date on which two entities entered into a marital relationship.
-
D.
dateOfUnionFormation
Indicates the date on which a union was formally established or came into existence.
-
E.
NobelPrizeYear
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7df63c8190b7cd1bcfdfd96187 |
completed | Feb. 28, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69a2e955d1f88190bd687c46fa7c5469 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.