Triple
T3111500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mary Tyler Moore Show |
E64960
|
entity |
| Predicate | decadeOfSetting |
P7068
|
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: [The Mary Tyler Moore Show, decadeOfSetting, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeOfSetting Context triple: [The Mary Tyler Moore Show, decadeOfSetting, 1970s]
-
A.
filmSettingDecade
Indicates the decade in which the events or primary narrative of a film are set.
-
B.
decadeContext
Indicates that the relationship or fact is specifically situated within, or pertains to, a particular decade as its temporal context.
-
C.
decade
chosen
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
D.
decadeDefinition
Indicates that one entity specifies or defines the meaning, scope, or characteristics of a particular decade associated with another entity.
-
E.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43954f0819096a96331bf3c53a8 |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.