Triple
T14575152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maudie Atkinson |
E342021
|
entity |
| Predicate | reactionToHouseFire |
P114924
|
FINISHED |
| Object | focuses on future and her garden |
—
|
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: focuses on future and her garden | Statement: [Maudie Atkinson, reactionToHouseFire, focuses on future and her garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToHouseFire Context triple: [Maudie Atkinson, reactionToHouseFire, focuses on future and her garden]
-
A.
houseBurned
Indicates that a house has been destroyed or significantly damaged by fire.
-
B.
firefightingResponse
Indicates the action of responding to and attempting to control or extinguish a fire or related emergency.
-
C.
fireIncidentRelated
Indicates that there is a connection or association between a specific fire incident and another entity, event, or record.
-
D.
fireOccurred
Indicates that a fire event took place at a specific time and/or location.
-
E.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:24 a.m.