Triple
T28147111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everage |
E714512
|
entity |
| Predicate | associatedWithPersonaTraits |
P112715
|
FINISHED |
| Object | flamboyant personality |
—
|
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: flamboyant personality | Statement: [Everage, associatedWithPersonaTraits, flamboyant personality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPersonaTraits Context triple: [Everage, associatedWithPersonaTraits, flamboyant personality]
-
A.
associatedWithPersonaTrait
chosen
Indicates that an entity is linked to or characterized by a particular persona trait or attribute.
-
B.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
C.
associatedPerformerPersona
Indicates a relationship where a performer is linked to a specific persona or role identity they adopt in their performances.
-
D.
usedPersonality
Indicates that one entity employed or applied another entity’s personality, traits, or persona in some context or interaction.
-
E.
agingCharacteristics
Indicates how the qualities, properties, or behavior of something change as it ages or over 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a00bf5990e08190a8b633e237656564 |
completed | May 10, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_6a00beef4f5881909b00ac89e6af5902 |
completed | May 10, 2026, 5:22 p.m. |
Created at: April 27, 2026, 9:57 p.m.