Triple
T14874353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MeTV |
E349826
|
entity |
| Predicate | programmingEraRangeStart |
P29349
|
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: [MeTV, programmingEraRangeStart, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmingEraRangeStart Context triple: [MeTV, programmingEraRangeStart, 1950s]
-
A.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
B.
programRiseEra
chosen
Indicates that a program begins, increases in prominence, or is active during a particular historical or contextual era.
-
C.
minimumRange
Indicates the smallest allowable or observed value within a specified range for a given relationship or measurement.
-
D.
includesNumberingRange
Indicates that one entity contains or covers a specified contiguous range of numbers associated with another entity.
-
E.
gradeRangeStart
Indicates the lower boundary value at which a particular grade or grading interval begins.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.