Triple
T37352984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roloff Farms |
E927373
|
entity |
| Predicate | filmingBeganWithSeries |
P81633
|
FINISHED |
| Object | Little People, Big World in 2006 |
—
|
NE NERFINISHED |
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: Little People, Big World in 2006 | Statement: [Roloff Farms, filmingBeganWithSeries, Little People, Big World in 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingBeganWithSeries Context triple: [Roloff Farms, filmingBeganWithSeries, Little People, Big World in 2006]
-
A.
filmingStartedAfter
Indicates that the start of filming for one entity occurred later in time than the start of filming for another entity.
-
B.
filmingStartedInYear
chosen
Indicates that the action of filming for a work or production began in the specified calendar year.
-
C.
firstAiredWithSeries
Indicates that an episode or installment was originally broadcast as part of the initial airing of a particular series.
-
D.
firstFilmed
Indicates that one entity is the earliest or initial subject to be captured on film in relation to another entity or context.
-
E.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.