Triple
T691417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Andy Griffith Show |
E13799
|
entity |
| Predicate | originalRunEra |
P16723
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [The Andy Griffith Show, originalRunEra, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRunEra Context triple: [The Andy Griffith Show, originalRunEra, 1960s]
-
A.
originYear
Indicates the year in which something first originated, was created, or began.
-
B.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
C.
firstEraNameDerivedFrom
Indicates that the name of the first era associated with an entity is derived from, or based on, another specified source.
-
D.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
-
E.
previousEraNameDerivedFrom
Indicates that the name of the current era is derived from, or based on, the name of a preceding era.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49dc20880819085fa60dc1851f9dc |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.