Triple
T9513191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina Miller Edison |
E229453
|
entity |
| Predicate | startTimeOfMarriageTo Thomas Alva Edison |
P88482
|
FINISHED |
| Object | 1886-02-24 |
—
|
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: 1886-02-24 | Statement: [Mina Miller Edison, startTimeOfMarriageTo Thomas Alva Edison, 1886-02-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageTo Thomas Alva Edison Context triple: [Mina Miller Edison, startTimeOfMarriageTo Thomas Alva Edison, 1886-02-24]
-
A.
roleInThomasEdisonCareer
Indicates that one entity had a specific role or involvement in the course of Thomas Edison’s professional career.
-
B.
wasInventedBy
Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
-
C.
notableInventor
Indicates that the subject is a well-known or historically significant inventor of the object.
-
D.
startTimeOfMarriageWith George C. Marshall
Indicates the date and time at which a marriage involving George C. Marshall began.
-
E.
marriageDurationWithHenryFord
Indicates the length of time an entity was married to Henry Ford.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986aa99c8190b2eaa7f9b111aa2e |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:58 p.m.