Triple
T25905424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Playhouse |
E652736
|
entity |
| Predicate | starredInBy |
P74071
|
FINISHED |
| Object | Buster Keaton |
—
|
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: Buster Keaton | Statement: [The Playhouse, starredInBy, Buster Keaton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredInBy Context triple: [The Playhouse, starredInBy, Buster Keaton]
-
A.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
actúaEn
Indicates that an actor or performer takes part in or appears in a specific production, such as a film, play, or television show.
-
C.
actsIn
chosen
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
D.
producedFilmStarring
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
-
E.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603beb5248190aed52bf4e44f223c |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:27 a.m.