Triple
T34296261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph M. Acaba |
E880035
|
entity |
| Predicate | yearSelectedAsAstronaut |
P32123
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Joseph M. Acaba, yearSelectedAsAstronaut, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearSelectedAsAstronaut Context triple: [Joseph M. Acaba, yearSelectedAsAstronaut, 2004]
-
A.
yearOfSpaceflight
Indicates the specific calendar year in which a given spaceflight took place.
-
B.
selectedAsAstronaut
chosen
Indicates that an individual has been formally chosen to serve as an astronaut, typically through an official selection process.
-
C.
numberOfAstronautsSelected
Indicates the quantity of astronauts that have been chosen or selected in a given context or selection process.
-
D.
isAstronautOf
Indicates that a person serves as an astronaut who is a member of, or assigned to, a particular space agency, mission, or spacecraft.
-
E.
astronautAgeAtLaunch
Indicates the age of an astronaut at the specific time of a spacecraft launch.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.