Triple
T9704456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American cinema |
E234863
|
entity |
| Predicate | firstMajorEra |
P83407
|
FINISHED |
| Object | silent film era |
—
|
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: silent film era | Statement: [American cinema, firstMajorEra, silent film era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorEra Context triple: [American cinema, firstMajorEra, silent film era]
-
A.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
-
B.
earliestMajorEmpire
Indicates that the subject is the earliest major empire associated with, or relevant to, the given object in time.
-
C.
historicalEraOfRise
Indicates the historical era or period during which an entity first rose to prominence, influence, or significance.
-
D.
firstMajorDevelopment
chosen
Indicates that the object is the earliest significant development, milestone, or major advancement associated with the subject.
-
E.
firstEraNameDerivedFrom
Indicates that the name of the first era associated with an entity is derived from, or based on, another specified source.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d74afb4819084174aab5bcdb6e0 |
completed | April 1, 2026, 10:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.