Triple
T20340928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott E. Parazynski |
E495737
|
entity |
| Predicate | totalEVAs |
P48706
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Scott E. Parazynski, totalEVAs, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalEVAs Context triple: [Scott E. Parazynski, totalEVAs, 7]
-
A.
numberOfEVAsOnMoon
Indicates the total count of extravehicular activities (spacewalks) that have occurred on the Moon.
-
B.
crewEVAHours
Indicates the total number of hours that crew members spend performing extravehicular activities (spacewalks) outside their vehicle or habitat.
-
C.
lastSurfaceEVAByHumans
Indicates that the referenced event is the most recent extravehicular activity conducted by humans on a planetary or moon surface.
-
D.
spacewalksCount
chosen
Indicates the number of spacewalk activities an entity has performed or participated in.
-
E.
dateOfMoonLandingEVA
Indicates the specific calendar date on which a particular extravehicular activity (EVA) occurred during a Moon landing mission.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6783533a881909a12311bb9c66542 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:23 a.m.