Triple
T25985441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Ellington Nixon-Marinoni |
E646187
|
entity |
| Predicate | hasOtherMotherOccupation |
P3773
|
FINISHED |
| Object | education activist |
—
|
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: education activist | Statement: [Max Ellington Nixon-Marinoni, hasOtherMotherOccupation, education activist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOtherMotherOccupation Context triple: [Max Ellington Nixon-Marinoni, hasOtherMotherOccupation, education activist]
-
A.
hasTwoMothers
Indicates that an entity is related to or cared for by two distinct mother figures.
-
B.
motherOccupation
chosen
Indicates the type of job or profession that a person's mother has.
-
C.
householdRoleOfMother
Indicates the specific role or function that a mother holds within the household context.
-
D.
siblingOccupation
Indicates that one person has a sibling whose job or profession is the specified occupation.
-
E.
notMotherOf
Indicates that the subject is explicitly not the mother (biological, adoptive, or recognized maternal parent) of the object.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60543b7f48190875ce79a1295e4ee |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:55 a.m.