Triple
T23318716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Side |
E590785
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Steven Bauer |
—
|
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: Steven Bauer | Statement: [Wild Side, stars, Steven Bauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Bauer Context triple: [Wild Side, stars, Steven Bauer]
-
A.
Steven Bauer
chosen
Steven Bauer is a Cuban-American actor best known for his role as Manny Ribera in the film "Scarface" and for numerous supporting roles in film and television.
-
B.
Sam Bauer
Sam Bauer is a film editor best known for his work on the cult psychological thriller "Donnie Darko."
-
C.
John Daheim
John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
-
D.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
E.
Steven Fechter
Steven Fechter is an American playwright and screenwriter best known for co-writing the film adaptation of his play "The Woodsman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.