Triple
T33995418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Plummer as Reverend Jonathan Whirley |
E871659
|
entity |
| Predicate | characterTraitInFiction |
P151325
|
FINISHED |
| Object | manipulative |
—
|
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: manipulative | Statement: [Christopher Plummer as Reverend Jonathan Whirley, characterTraitInFiction, manipulative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTraitInFiction Context triple: [Christopher Plummer as Reverend Jonathan Whirley, characterTraitInFiction, manipulative]
-
A.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
B.
notableTraitInFiction
chosen
Indicates that a particular trait, characteristic, or quality is especially prominent or defining for an entity within fictional works.
-
C.
characterSetting
Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
-
D.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
-
E.
storyCharacterizedAs
Indicates that a story is described, portrayed, or defined as having a particular quality, style, or attribute.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
Created at: May 1, 2026, 1:50 a.m.