Triple
T30342583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | color video tape recorder |
E771795
|
entity |
| Predicate | becameCommonIn |
P81534
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [color video tape recorder, becameCommonIn, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameCommonIn Context triple: [color video tape recorder, becameCommonIn, 1970s]
-
A.
becameCommonerOn
Indicates the date or time at which an entity transitioned from a non-commoner status to becoming a commoner.
-
B.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
C.
isLessCommonSince
Indicates that the frequency or prevalence of one entity has decreased relative to another entity or to its own past occurrence from a specified point in time.
-
D.
moreCommonAs
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
-
E.
firstWidelyUsedDuring
chosen
Indicates that something (such as a concept, technology, or practice) came into its first period of broad or widespread use during a specified time 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682046608819091b68c1f04f8f7fe |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.