Triple
T104235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baruch Spinoza |
E2104
|
entity |
| Predicate | excommunicationYear |
P5767
|
FINISHED |
| Object | 1656 |
—
|
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: 1656 | Statement: [Baruch Spinoza, excommunicationYear, 1656]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excommunicationYear Context triple: [Baruch Spinoza, excommunicationYear, 1656]
-
A.
dateAbolished
Indicates the date on which something (such as an institution, law, practice, or position) was officially ended or abolished.
-
B.
canonizationDate
Indicates the date on which an individual was officially declared a saint (canonized) by a religious authority.
-
C.
consecrationDate
Indicates the date on which something (typically a building, object, or person) was formally dedicated or made sacred through a religious or ceremonial act.
-
D.
wasOverturnedInYear
Indicates that a prior decision, ruling, or outcome was reversed or nullified in the specified year.
-
E.
endYear
Indicates the year in which an event, state, or relationship comes to an end.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25711f6788190a22252ea3a3af394 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563be81c81908ccc5ed44edd6b8e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2570f45bc81909ebba7ee5f602976 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.