Triple
T10790786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Young |
E254571
|
entity |
| Predicate | totalTimeOnLunarSurface |
P26368
|
FINISHED |
| Object | about 71 hours |
—
|
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: about 71 hours | Statement: [John W. Young, totalTimeOnLunarSurface, about 71 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalTimeOnLunarSurface Context triple: [John W. Young, totalTimeOnLunarSurface, about 71 hours]
-
A.
timeOnLunarSurface
chosen
Indicates the duration that an entity spends on the surface of the Moon.
-
B.
numberLandedOnMoon
Indicates the count of distinct entities that have successfully landed on the Moon.
-
C.
evaCountOnLunarSurface
Indicates the number of extravehicular activities (spacewalks) performed on the lunar surface.
-
D.
numberFlownToMoon
Indicates the number of times an entity has traveled to or reached the Moon.
-
E.
actualMissionDurationOnSurface
Indicates the length of time that a mission actually spent on the surface, as opposed to planned or total mission duration.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f5b8248190a633dc44ae620a3a |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.