Triple
T25199188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloodstained: Ritual of the Night |
E631079
|
entity |
| Predicate | kickstarterCampaignStartYear |
P158018
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Bloodstained: Ritual of the Night, kickstarterCampaignStartYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kickstarterCampaignStartYear Context triple: [Bloodstained: Ritual of the Night, kickstarterCampaignStartYear, 2015]
-
A.
KickstarterCampaignEndDate
Indicates the date on which a Kickstarter campaign is scheduled or recorded to end.
-
B.
brandLaunchYear
Indicates the calendar year in which a brand was first introduced or launched to the market.
-
C.
onlineLaunchYear
Indicates the year in which something (such as a service, product, or website) was first launched or made available online.
-
D.
launchedEndYear
Indicates the calendar year in which a launch event or activity came to an end.
-
E.
donationYear
Indicates the specific calendar year in which a donation or gift was made.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b409808190b41f2edafc801130 |
completed | May 1, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 12:51 p.m.