Triple
T19217884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Laliberté |
E480533
|
entity |
| Predicate | spaceTouristNumber |
P135019
|
FINISHED |
| Object | first Canadian space tourist |
—
|
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: first Canadian space tourist | Statement: [Guy Laliberté, spaceTouristNumber, first Canadian space tourist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceTouristNumber Context triple: [Guy Laliberté, spaceTouristNumber, first Canadian space tourist]
-
A.
spaceFlightsCount
Indicates the number of space flights that an entity has undertaken or been involved in.
-
B.
spaceTourism
Indicates commercial travel or recreational trips by people to outer space or space-related environments.
-
C.
spaceAgencyCustomer
Indicates a relationship where one entity is a customer that purchases or contracts services from a space agency.
-
D.
spaceMissionsFlown
Indicates the number or specific instances of space missions that an entity has participated in or carried out.
-
E.
spaceStationVisit
Indicates that an entity travels to and spends time at a space station as a visitor or temporary occupant.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3c552c8190b22844e5b7adfc50 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:23 p.m.