Triple
T6444949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury-Atlas 7 |
E138317
|
entity |
| Predicate | crewRoleOfScottCarpenter |
P70693
|
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: [Mercury-Atlas 7, crewRoleOfScottCarpenter, pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewRoleOfScottCarpenter Context triple: [Mercury-Atlas 7, crewRoleOfScottCarpenter, pilot]
-
A.
crewRoleOf Wally Schirra
Indicates the specific crew position or function that Wally Schirra held within a particular mission or spacecraft crew.
-
B.
lunarModulePilot
Indicates that the subject serves as the pilot of a lunar module in a space mission.
-
C.
Apollo1Crewmate
Indicates that one entity is a member of the crew of the Apollo 1 space mission in relation to another entity.
-
D.
carriedAstronaut
Indicates that one entity transported or bore an astronaut from one place or state to another.
-
E.
missionSpecialist
Indicates that an entity serves in the role of a mission specialist in relation to a particular mission or spaceflight.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698d866c81909ef3e0a53833ff7d |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:46 p.m.