Triple
T18689451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curly Howard as the childlike stooge |
E456951
|
entity |
| Predicate | inUniverseAgeTrait |
P115424
|
FINISHED |
| Object | mentally childlike |
—
|
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: mentally childlike | Statement: [Curly Howard as the childlike stooge, inUniverseAgeTrait, mentally childlike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseAgeTrait Context triple: [Curly Howard as the childlike stooge, inUniverseAgeTrait, mentally childlike]
-
A.
inUniverseAge
Indicates the age of an entity as measured within the timeline or continuity of a specific fictional or defined universe.
-
B.
inUniverseAgeGroup
Indicates that an entity belongs to a specified age group within a particular fictional or defined universe or setting.
-
C.
inUniverseTraitEmphasized
chosen
Indicates that a particular trait of an entity is especially highlighted or stressed within the context of its fictional universe.
-
D.
inUniverseType
Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
-
E.
inUniverseOrigin
Indicates that one entity originates from, or has its source within, the fictional universe or setting defined by another 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_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.