Triple
T24000273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Valley Theme |
E594226
|
entity |
| Predicate | associatedWithLanguageOfSeries |
P51969
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [The Big Valley Theme, associatedWithLanguageOfSeries, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLanguageOfSeries Context triple: [The Big Valley Theme, associatedWithLanguageOfSeries, English]
-
A.
languageOfSeries
chosen
Indicates the language in which a series is primarily produced, presented, or officially released.
-
B.
associatedWithSeriesSeason
Indicates that an entity is connected or linked to a particular season of a series.
-
C.
hasLanguageOfShows
Indicates that an entity (such as a channel, platform, or schedule) is associated with the language in which its shows are presented.
-
D.
associatedCatalogSeries
Indicates that one entity is linked to a catalog series with which it is grouped, classified, or otherwise contextually connected.
-
E.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d46289b881909ea351cdc3f57c43 |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:39 p.m.