Triple
T21360064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Kessler |
E526748
|
entity |
| Predicate | laterCharacterState |
P143981
|
FINISHED |
| Object | resourceful and assertive |
—
|
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: resourceful and assertive | Statement: [Sandy Kessler, laterCharacterState, resourceful and assertive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterCharacterState Context triple: [Sandy Kessler, laterCharacterState, resourceful and assertive]
-
A.
titleCharacterState
Indicates the state or condition a character is in within the context of a specific title or work.
-
B.
definesStateCharacter
Indicates that something specifies or determines the essential qualities or characteristics of a state or condition.
-
C.
dynamicCharacter
Indicates that a character undergoes significant internal change or development over the course of a narrative.
-
D.
currentCharacter
Indicates that an entity is the character presently in focus or being actively considered in a given context or sequence.
-
E.
associatedCharacterEvent
Indicates that a character is linked or connected to a particular event in some relevant way.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:07 p.m.