Triple
T19973446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawson (Better Call Saul) |
E493624
|
entity |
| Predicate | riskAttitude |
P138100
|
FINISHED |
| Object | cautious |
—
|
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: cautious | Statement: [Lawson (Better Call Saul), riskAttitude, cautious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskAttitude Context triple: [Lawson (Better Call Saul), riskAttitude, cautious]
-
A.
riskBelief
Indicates that an entity holds a belief or assessment about the likelihood or severity of a potential risk associated with another entity, event, or situation.
-
B.
riskProfile
Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
-
C.
risk
Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
-
D.
riskTaken
Indicates that an entity has undertaken an action or decision involving exposure to potential loss, harm, or uncertainty.
-
E.
riskType
Indicates the category or nature of risk associated with an entity, event, or relationship.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:17 p.m.