Triple
T9754787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell |
E236526
|
entity |
| Predicate | characterDesignFeature |
P57584
|
FINISHED |
| Object | round face |
—
|
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: round face | Statement: [Russell, characterDesignFeature, round face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterDesignFeature Context triple: [Russell, characterDesignFeature, round face]
-
A.
characterDesigner
Indicates a relationship where an entity is responsible for designing or creating the visual or conceptual characteristics of a character.
-
B.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
C.
previousDesignFeature
Indicates that one design feature precedes another in a sequence or earlier version of a design.
-
D.
featuresCreator
Indicates that an entity prominently presents, highlights, or showcases a particular creator as a key associated party.
-
E.
mascotDesigner
Indicates that one entity is responsible for designing or creating the mascot associated with 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb1370c8190bc153db8cababc62 |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.