Triple
T6805528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lois Driggs Cannon |
E156294
|
entity |
| Predicate | endTimeOfMarriageWithBuzzAldrin |
P73107
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Lois Driggs Cannon, endTimeOfMarriageWithBuzzAldrin, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfMarriageWithBuzzAldrin Context triple: [Lois Driggs Cannon, endTimeOfMarriageWithBuzzAldrin, 2012]
-
A.
yearOfFirstCrewedLunarLanding
Indicates the calendar year in which the first crewed lunar landing took place.
-
B.
wasSecondAmericanInSpace
Indicates that the subject was the second American person to travel into outer space.
-
C.
firstHumanOnMoon
Indicates that the subject is the first human ever to set foot on the Moon.
-
D.
firstLunarLandingDate
Indicates the calendar date on which an entity’s first lunar landing occurred.
-
E.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d3082dcc8190a84bc056236cc52e |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d2a8f9188190abbb8c730e7b5edf |
completed | March 27, 2026, 6:55 p.m. |
Created at: March 27, 2026, 2:16 p.m.