Triple
T31131449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Garcia |
E793518
|
entity |
| Predicate | inspiredByWorkCountryOfOrigin |
P61130
|
FINISHED |
| Object | Israel |
—
|
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: Israel | Statement: [Daniel Garcia, inspiredByWorkCountryOfOrigin, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByWorkCountryOfOrigin Context triple: [Daniel Garcia, inspiredByWorkCountryOfOrigin, Israel]
-
A.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
B.
associatedWorkCountryOfOrigin
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
C.
createdByCountryOfOrigin
Indicates that something was created by the country from which it originally comes or is associated as its origin.
-
D.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 29, 2026, 9:05 p.m.