Triple
T6846129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chaplin Revue |
E157898
|
entity |
| Predicate | featuresSilentEraMaterial |
P49659
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Chaplin Revue, featuresSilentEraMaterial, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSilentEraMaterial Context triple: [The Chaplin Revue, featuresSilentEraMaterial, yes]
-
A.
featuresMaterialFrom
chosen
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
D.
materialInLore
Indicates that a material is referenced, described, or plays a role within a body of lore or fictional/worldbuilding context.
-
E.
eraUsedIn
Indicates that something (such as a method, standard, or practice) was in active use during a specified historical or temporal era.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cbe4488190b41ddf953f12f55f |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.