Triple
T34676663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Character Strengths and Virtues: A Handbook and Classification |
E890510
|
entity |
| Predicate | proposesNumberOfCharacterStrengths |
P182794
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Character Strengths and Virtues: A Handbook and Classification, proposesNumberOfCharacterStrengths, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesNumberOfCharacterStrengths Context triple: [Character Strengths and Virtues: A Handbook and Classification, proposesNumberOfCharacterStrengths, 24]
-
A.
featuresNumberOfPersonalities
Indicates that an entity is characterized by or contains a specified number of distinct personalities.
-
B.
proposesNumberOfCoreVirtues
chosen
Indicates that an entity specifies or advocates a particular quantity of core virtues.
-
C.
numberOfCharacters
Indicates the total count of individual characters present in a given text, string, or entity’s representation.
-
D.
cognitiveTraits
Indicates that one entity possesses or is characterized by particular mental abilities, tendencies, or styles of thinking in relation to another entity or context.
-
E.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 2:05 a.m.