Triple
T12393935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His New Job |
E296066
|
entity |
| Predicate | followsInCareerEvent |
P6709
|
FINISHED |
| Object | Charlie Chaplin's departure from Keystone Studios |
—
|
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 departure from Keystone Studios | Statement: [His New Job, followsInCareerEvent, Charlie Chaplin's departure from Keystone Studios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInCareerEvent Context triple: [His New Job, followsInCareerEvent, Charlie Chaplin's departure from Keystone Studios]
-
A.
followsCareerFrom
Indicates that one entity pursues or traces the professional path or career trajectory originating from or modeled after another entity.
-
B.
followedByRoleInCareerOf
chosen
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
C.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
-
D.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
E.
followsWork
Indicates that one work (such as a publication, version, or creative piece) comes directly after another in sequence or succession.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd228488190b216abd1c341563c |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.