Triple
T25917923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Gillies as Jade West |
E653082
|
entity |
| Predicate | characterNotableTrait |
P151325
|
FINISHED |
| Object | jealous |
—
|
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: jealous | Statement: [Elizabeth Gillies as Jade West, characterNotableTrait, jealous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterNotableTrait Context triple: [Elizabeth Gillies as Jade West, characterNotableTrait, jealous]
-
A.
notableTraitOnStage
Indicates that an entity is characterized by a distinctive or noteworthy trait specifically in the context of performing or appearing on stage.
-
B.
notableTraitInFiction
chosen
Indicates that a particular trait, characteristic, or quality is especially prominent or defining for an entity within fictional works.
-
C.
hasSupportingCharacterTrait
Indicates that a supporting character possesses a particular trait, quality, or characteristic.
-
D.
notableTraitInGames
Indicates that a particular characteristic or quality is especially prominent or well-known in the context of games.
-
E.
notableTraitInMarvel
Indicates that a particular trait or characteristic is especially prominent or noteworthy within the Marvel universe.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 22, 2026, 8:31 a.m.