Triple
T25905487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mae Scriven |
E652738
|
entity |
| Predicate | spouseOfSilentFilmStar |
P33561
|
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: [Mae Scriven, spouseOfSilentFilmStar, Buster Keaton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfSilentFilmStar Context triple: [Mae Scriven, spouseOfSilentFilmStar, Buster Keaton]
-
A.
spouseAppearsIn
Indicates that the spouse of a given person appears or is featured in a specified work, context, or setting.
-
B.
hasSpouseActorsInLeads
Indicates that the primary leading roles in a work are performed by actors who are spouses of each other.
-
C.
spouseCharacterOf
Indicates a marital relationship where one character is the spouse of another character.
-
D.
spouseAssociatedWith
chosen
Indicates a marital or spousal relationship or close association between two entities.
-
E.
directorSpouseInCast
Indicates that a film’s director is married to someone who appears as a cast member in that same film.
- 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_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 22, 2026, 8:27 a.m.