Triple
T27607620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Goodman as Pacha |
E700222
|
entity |
| Predicate | characterTraitOfPacha |
P37384
|
FINISHED |
| Object | kind |
—
|
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: kind | Statement: [John Goodman as Pacha, characterTraitOfPacha, kind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTraitOfPacha Context triple: [John Goodman as Pacha, characterTraitOfPacha, kind]
-
A.
associatedCharacterTrait
chosen
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
B.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
C.
featuresPsychicCharacter
Indicates that the subject includes or involves a character who possesses psychic or telepathic abilities.
-
D.
childCharacterTrait
Indicates that a child possesses or exhibits a particular character trait.
-
E.
성격
Indicates a relationship where one entity’s character, temperament, or personality traits are attributed to or associated with that entity.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 27, 2026, 2:10 p.m.