Triple
T13608623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Tucker-Pritchett |
E325128
|
entity |
| Predicate | characterDevelopmentTrait |
P20798
|
FINISHED |
| Object | increasingly sarcastic with age |
—
|
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: increasingly sarcastic with age | Statement: [Lily Tucker-Pritchett, characterDevelopmentTrait, increasingly sarcastic with age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterDevelopmentTrait Context triple: [Lily Tucker-Pritchett, characterDevelopmentTrait, increasingly sarcastic with age]
-
A.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
B.
developmentCharacter
Indicates a relationship where one entity contributes to or influences the growth, formation, or evolution of another entity’s characteristics or qualities.
-
C.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
D.
characterSetting
Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
-
E.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.