Triple
T24000280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Valley Theme |
E594226
|
entity |
| Predicate | associatedWithLeadActorsOfSeries |
P154567
|
FINISHED |
| Object | Barbara Stanwyck |
—
|
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: Barbara Stanwyck | Statement: [The Big Valley Theme, associatedWithLeadActorsOfSeries, Barbara Stanwyck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLeadActorsOfSeries Context triple: [The Big Valley Theme, associatedWithLeadActorsOfSeries, Barbara Stanwyck]
-
A.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
B.
associatedWithDirectors
Indicates a direct relationship or connection between an entity and one or more film or project directors.
-
C.
associatedWithDirectorCharacter
Indicates a relationship where something is linked to or connected with a director character, typically signifying involvement, relevance, or attribution to that director character.
-
D.
filmCoStar
Indicates that two people appeared together as co-actors in the same film.
-
E.
associatedWithShowCreators
Indicates a relationship where an entity is linked or connected to the creators of a particular show.
- 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_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. |
| PDg | Predicate description generation | batch_69f16e35944c8190b57cfa31f1e9da1b |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:39 p.m.