Triple
T10859839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O. J. Berman |
E256368
|
entity |
| Predicate | depictsSubculture |
P18272
|
FINISHED |
| Object | Hollywood agents |
—
|
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: Hollywood agents | Statement: [O. J. Berman, depictsSubculture, Hollywood agents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsSubculture Context triple: [O. J. Berman, depictsSubculture, Hollywood agents]
-
A.
culturalDepictionBy
Indicates that one entity serves as the creator or source of a cultural representation or portrayal of another entity.
-
B.
notableSubculture
Indicates that one entity is a significant or well-recognized subculture within the context or domain of the other entity.
-
C.
hasCulturalDepiction
chosen
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
D.
cultureDepicted
Indicates that one entity portrays, represents, or is associated with the culture of another entity.
-
E.
depictsSocietyType
Indicates that one entity visually represents or portrays the type or structure of a particular society 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.