Triple
T35019380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio |
E1010151
|
entity |
| Predicate | originalWorkReleaseDecade |
P140203
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [Julio, originalWorkReleaseDecade, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkReleaseDecade Context triple: [Julio, originalWorkReleaseDecade, 2010s]
-
A.
releasedInDecade
Indicates that an item (such as a work, product, or event) was released during a specified ten-year time period.
-
B.
publicationDecade
Indicates the decade during which a publication was released or made publicly available.
-
C.
firstWorkPublicationDecade
Indicates the decade during which an entity’s first work was published.
-
D.
basedOnWorkPublicationDecade
chosen
Indicates that one entity is categorized or related to another based on the decade in which a referenced work was originally published.
-
E.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.