Triple
T30676507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Maplett |
E780924
|
entity |
| Predicate | placeOfResidenceDuringLife |
P34568
|
FINISHED |
| Object | Colonial America |
—
|
NE NERFINISHED |
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: Colonial America | Statement: [Mary Maplett, placeOfResidenceDuringLife, Colonial America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfResidenceDuringLife Context triple: [Mary Maplett, placeOfResidenceDuringLife, Colonial America]
-
A.
residenceDuringLife
chosen
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
B.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
C.
residedOn
Indicates that an entity lived or had its primary dwelling at a specific location during a certain period.
-
D.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
E.
laterLivedIn
Indicates that one entity resided in a particular place during a later period of its life, after an earlier residence elsewhere.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 8:32 p.m.