Triple
T21946200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Peoples |
E541938
|
entity |
| Predicate | hasCopingMechanism |
P54487
|
FINISHED |
| Object | positive thinking mantra about silver linings |
—
|
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: positive thinking mantra about silver linings | Statement: [Pat Peoples, hasCopingMechanism, positive thinking mantra about silver linings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCopingMechanism Context triple: [Pat Peoples, hasCopingMechanism, positive thinking mantra about silver linings]
-
A.
copingMechanism
chosen
Indicates a way in which an entity responds to, manages, or adapts to stress, difficulty, or emotional challenges.
-
B.
hasRemedy
Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
-
C.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
D.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
E.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12427c2b48190949c41bd3be2d9f3 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:57 p.m.