Triple
T20391141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C2 Pictures |
E498085
|
entity |
| Predicate | eraOfMainActivity |
P28914
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [C2 Pictures, eraOfMainActivity, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfMainActivity Context triple: [C2 Pictures, eraOfMainActivity, early 2000s]
-
A.
eraOfSetting
Indicates the historical or temporal period in which the setting of something (such as a story, event, or work) takes place.
-
B.
eraOfOperation
chosen
Indicates the time period or span of years during which an entity was active or in operation.
-
C.
eraStart
Indicates the point in time at which a particular era or period begins.
-
D.
mainCurrentAct
Indicates that an entity is currently performing or engaged in its primary or most important action or activity.
-
E.
eraManagedIn
Indicates that an entity (such as a project, resource, or process) was administered, controlled, or overseen during a specific time period or 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.