Triple
T7732851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Cernan |
E175305
|
entity |
| Predicate | selectedAsAstronautIn |
P32123
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Eugene Cernan, selectedAsAstronautIn, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectedAsAstronautIn Context triple: [Eugene Cernan, selectedAsAstronautIn, 1963]
-
A.
selectedAsAstronaut
chosen
Indicates that an individual has been formally chosen to serve as an astronaut, typically through an official selection process.
-
B.
numberOfAstronautsSelected
Indicates the quantity of astronauts that have been chosen or selected in a given context or selection process.
-
C.
aboardSpacecraft
Indicates that one entity is physically present on or inside a spacecraft as an occupant or passenger.
-
D.
attachedToSpaceStation
Indicates that an object is physically connected or secured to a space station.
-
E.
astronautTrainingAgency
Indicates that an agency is responsible for training astronauts or overseeing astronaut training programs.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.