Triple
T3563240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Doggfather |
E75385
|
entity |
| Predicate | portraysImage |
P41815
|
FINISHED |
| Object | cool, relaxed gangsta figure |
—
|
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: cool, relaxed gangsta figure | Statement: [Tha Doggfather, portraysImage, cool, relaxed gangsta figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysImage Context triple: [Tha Doggfather, portraysImage, cool, relaxed gangsta figure]
-
A.
evokesImageOf
chosen
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
B.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
-
C.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
D.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
-
E.
portrayalFeature
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a60e6c8190a3c3ddae5b6ded54 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.