Triple
T5558112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Auto Races at Venice |
E145697
|
entity |
| Predicate | chronologyWithinCareer |
P5172
|
FINISHED |
| Object | one of Charlie Chaplin’s earliest films |
—
|
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: one of Charlie Chaplin’s earliest films | Statement: [Kid Auto Races at Venice, chronologyWithinCareer, one of Charlie Chaplin’s earliest films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyWithinCareer Context triple: [Kid Auto Races at Venice, chronologyWithinCareer, one of Charlie Chaplin’s earliest films]
-
A.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
B.
workChronologyPosition
chosen
Indicates the relative ordering or position of a work within a sequence of works, such as in a career, series, or catalog.
-
C.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
D.
workChronicles
Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
-
E.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.