Triple
T9641192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Maguire |
E233070
|
entity |
| Predicate | copingWith |
P54487
|
FINISHED |
| Object | grief over his wife’s death |
—
|
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: grief over his wife’s death | Statement: [Sean Maguire, copingWith, grief over his wife’s death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copingWith Context triple: [Sean Maguire, copingWith, grief over his wife’s death]
-
A.
copingMechanism
chosen
Indicates a way in which an entity responds to, manages, or adapts to stress, difficulty, or emotional challenges.
-
B.
seeksToOvercome
Indicates an intentional effort by one entity to defeat, surpass, or remove an obstacle, limitation, or opposing force associated with another entity or condition.
-
C.
confronts
Indicates that one entity directly faces and challenges another, often in opposition or dispute.
-
D.
care
Indicates showing concern, attention, or responsibility for the well-being or needs of another entity.
-
E.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:12 p.m.