Triple
T8948145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendship 7 |
E213273
|
entity |
| Predicate | crewMemberRole_JohnGlenn |
P86492
|
FINISHED |
| Object | pilot |
—
|
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: pilot | Statement: [Friendship 7, crewMemberRole_JohnGlenn, pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewMemberRole_JohnGlenn Context triple: [Friendship 7, crewMemberRole_JohnGlenn, pilot]
-
A.
missionCarryingJohnGlenn
Indicates that a mission is carrying, transporting, or otherwise conveying John Glenn.
-
B.
crewRoleOfScottCarpenter
Indicates the specific crew position or duty that Scott Carpenter held within a mission or organizational context.
-
C.
lunarModulePilot
Indicates that the subject serves as the pilot of a lunar module in a space mission.
-
D.
crewRoleOf Wally Schirra
Indicates the specific crew position or function that Wally Schirra held within a particular mission or spacecraft crew.
-
E.
firstCrewMember
Indicates that the subject is the first (earliest or primary) member within a specified crew or group.
- 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_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. |
| PDg | Predicate description generation | batch_69cc60e0d7208190966797ce5f95fe49 |
completed | April 1, 2026, 12:03 a.m. |
Created at: March 30, 2026, 6:59 p.m.