Triple
T1870562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Ann Holmes Booth |
E39024
|
entity |
| Predicate | placeOfFamilyLife |
P27131
|
FINISHED |
| Object | rural Maryland farm |
—
|
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: rural Maryland farm | Statement: [Mary Ann Holmes Booth, placeOfFamilyLife, rural Maryland farm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfFamilyLife Context triple: [Mary Ann Holmes Booth, placeOfFamilyLife, rural Maryland farm]
-
A.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
B.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
C.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
-
D.
family
Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
-
E.
placeOfUpbringing
chosen
Indicates the location where an individual was raised or spent most of their formative years.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.