Triple
T4727475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Onegin |
E104920
|
entity |
| Predicate | firstProfessionalProductionYear |
P39672
|
FINISHED |
| Object | 1881 |
—
|
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: 1881 | Statement: [Eugene Onegin, firstProfessionalProductionYear, 1881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProfessionalProductionYear Context triple: [Eugene Onegin, firstProfessionalProductionYear, 1881]
-
A.
firstProductionYear
chosen
Indicates the year in which something (such as a product, work, or item) was first produced.
-
B.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
C.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
D.
firstCommercialReleaseYear
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
E.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.