Triple
T9808826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Shuttle Discovery |
E238217
|
entity |
| Predicate | missionSTS-95NotableAspect |
P21493
|
FINISHED |
| Object | Carried John Glenn back to space at age 77 |
—
|
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: Carried John Glenn back to space at age 77 | Statement: [Space Shuttle Discovery, missionSTS-95NotableAspect, Carried John Glenn back to space at age 77]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionSTS-95NotableAspect Context triple: [Space Shuttle Discovery, missionSTS-95NotableAspect, Carried John Glenn back to space at age 77]
-
A.
notableCosmonaut
Indicates that the subject is a cosmonaut who is distinguished or well-known for their role, achievements, or significance in spaceflight.
-
B.
spaceShuttleApproachAndLandingTestCrew
Indicates that the entities form the crew involved in a space shuttle approach and landing test.
-
C.
astronautFullName
Indicates the complete personal name of an astronaut, typically including given, middle, and family names.
-
D.
servedOnSpaceShuttle
Indicates that an individual participated as a crew member on a mission aboard a Space Shuttle.
-
E.
missionCarryingJohnGlenn
chosen
Indicates that a mission is carrying, transporting, or otherwise conveying John Glenn.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb21ef32c8190ab4b09d157798451 |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.