Triple
T18689452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curly Howard as the childlike stooge |
E456951
|
entity |
| Predicate | inUniversePersonalityTrait |
P114396
|
FINISHED |
| Object | trusting |
—
|
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: trusting | Statement: [Curly Howard as the childlike stooge, inUniversePersonalityTrait, trusting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniversePersonalityTrait Context triple: [Curly Howard as the childlike stooge, inUniversePersonalityTrait, trusting]
-
A.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
B.
personalityType
Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
-
C.
성격
Indicates a relationship where one entity’s character, temperament, or personality traits are attributed to or associated with that entity.
-
D.
childCharacterTrait
chosen
Indicates that a child possesses or exhibits a particular character trait.
-
E.
featuresNumberOfPersonalities
Indicates that an entity is characterized by or contains a specified number of distinct personalities.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2fc2cc8190a4726526a714a5eb |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.