Triple
T8948154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendship 7 |
E213273
|
entity |
| Predicate | crewNationality_JohnGlenn |
P67128
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Friendship 7, crewNationality_JohnGlenn, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewNationality_JohnGlenn Context triple: [Friendship 7, crewNationality_JohnGlenn, American]
-
A.
missionCarryingJohnGlenn
Indicates that a mission is carrying, transporting, or otherwise conveying John Glenn.
-
B.
astronautNationality
chosen
Indicates the relationship between an astronaut and the country with which they hold citizenship or official national affiliation.
-
C.
pilotNationality
Indicates that a pilot has a specific national affiliation or citizenship.
-
D.
firstHumanInSpace
Indicates that the subject is the first human ever to travel into outer space.
-
E.
notableCosmonaut
Indicates that the subject is a cosmonaut who is distinguished or well-known for their role, achievements, or significance in spaceflight.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6709c7a48190ab503083a1d6a29f |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.