Triple
T9328600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astaire–Rogers filmography |
E224458
|
entity |
| Predicate | primaryProductionPeriod |
P23186
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Astaire–Rogers filmography, primaryProductionPeriod, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProductionPeriod Context triple: [Astaire–Rogers filmography, primaryProductionPeriod, 1930s]
-
A.
timePeriodOfProduction
chosen
Indicates the span of time during which something was produced or created.
-
B.
primaryProducer
Indicates that an entity produces a good, service, or resource as the initial source in a supply, economic, or ecological chain.
-
C.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
D.
firstGenerationProduction
Indicates that the production or creation of something belongs to its initial or earliest generation in a sequence or lineage.
-
E.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ab90ac8190b5c73f08dd091731 |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.