Triple
T31712264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish I Was Here |
E809357
|
entity |
| Predicate | kickstarterBackersCount |
P172890
|
FINISHED |
| Object | 46000+ |
—
|
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: 46000+ | Statement: [Wish I Was Here, kickstarterBackersCount, 46000+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kickstarterBackersCount Context triple: [Wish I Was Here, kickstarterBackersCount, 46000+]
-
A.
kickstarterCampaignStartYear
Indicates the calendar year in which a Kickstarter campaign was launched or began.
-
B.
KickstarterCampaignEndDate
Indicates the date on which a Kickstarter campaign is scheduled or recorded to end.
-
C.
raisedMoneyFor
Indicates that one entity collected or obtained funds specifically to support or benefit another entity, cause, or purpose.
-
D.
crowdfundingGoalMet
Indicates that the funding target for a crowdfunding campaign has been reached or exceeded.
-
E.
approximateFundsRaised
Indicates an estimated amount of money that has been raised, rather than an exact or final total.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 11:16 p.m.