Triple
T6479681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Many Loves of Dobie Gillis |
E146156
|
entity |
| Predicate | televisionAdaptationDecade |
P71149
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [The Many Loves of Dobie Gillis, televisionAdaptationDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionAdaptationDecade Context triple: [The Many Loves of Dobie Gillis, televisionAdaptationDecade, 1950s]
-
A.
alsoAiredInDecade
Indicates that the subject was also broadcast or shown during the specified decade.
-
B.
originallyAiredInDecade
Indicates that the original broadcast or first airing of something (such as a show or episode) occurred during a specified decade.
-
C.
filmSettingDecade
Indicates the decade in which the events or primary narrative of a film are set.
-
D.
releasedInDecade
Indicates that an item (such as a work, product, or event) was released during a specified ten-year time period.
-
E.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
- F. None of above. chosen
Provenance (4 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4e764c819086828bb841f588e0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c06822f73081908e6bb9edecbe77a6 |
completed | March 22, 2026, 10:07 p.m. |
Created at: March 22, 2026, 4:51 p.m.