Triple
T33557608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Face |
E859522
|
entity |
| Predicate | starringAs |
P151498
|
FINISHED |
| Object | Charlize Theron as Wren Petersen |
—
|
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: Charlize Theron as Wren Petersen | Statement: [The Last Face, starringAs, Charlize Theron as Wren Petersen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starringAs Context triple: [The Last Face, starringAs, Charlize Theron as Wren Petersen]
-
A.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
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.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
D.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
E.
creditedRoleOf
chosen
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f70fde208190b0a0c2950bc99362 |
completed | May 3, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.