Triple
T6471452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward G. Robinson |
E142361
|
entity |
| Predicate | genreOfPortrayal |
P21332
|
FINISHED |
| Object | gangster characters |
—
|
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: gangster characters | Statement: [Edward G. Robinson, genreOfPortrayal, gangster characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfPortrayal Context triple: [Edward G. Robinson, genreOfPortrayal, gangster characters]
-
A.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
B.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
-
C.
portrayalFeature
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
-
D.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
E.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2fd4248190a789bf0301e2860a |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.