Triple
T37527298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarig Jelles |
E932939
|
entity |
| Predicate | helpedEdit |
P150111
|
FINISHED |
| Object | works of Baruch Spinoza |
—
|
NE NERFINISHED |
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: works of Baruch Spinoza | Statement: [Jarig Jelles, helpedEdit, works of Baruch Spinoza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedEdit Context triple: [Jarig Jelles, helpedEdit, works of Baruch Spinoza]
-
A.
editedIn
Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
-
B.
editedTo
chosen
Indicates that one entity has been modified, revised, or altered in order to become the other entity.
-
C.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
D.
helpedCause
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
E.
laterHelps
Indicates that one entity provides help or assistance to another at a subsequent time rather than immediately.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.