Triple
T1367884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Chaplin |
E30043
|
entity |
| Predicate | influencedWorkOf |
P13951
|
FINISHED |
| Object | Charlie Chaplin’s portrayal of poverty |
—
|
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: Charlie Chaplin’s portrayal of poverty | Statement: [Hannah Chaplin, influencedWorkOf, Charlie Chaplin’s portrayal of poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedWorkOf Context triple: [Hannah Chaplin, influencedWorkOf, Charlie Chaplin’s portrayal of poverty]
-
A.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
B.
influencedArtist
chosen
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
C.
influencedNameOf
Indicates that one entity has affected or shaped the naming or choice of name of another entity.
-
D.
hasHistoricalWritingInfluenceFrom
Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
-
E.
isPosthumousWorkOf
Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d497f88190993d16a208ced43d |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.