Triple
T10975027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Branagh as Victor Frankenstein |
E259347
|
entity |
| Predicate | coStarInFilm |
P14987
|
FINISHED |
| Object | Robert De Niro as the Creature |
—
|
LITERAL FINISHED |
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: Robert De Niro as the Creature | Statement: [Kenneth Branagh as Victor Frankenstein, coStarInFilm, Robert De Niro as the Creature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coStarInFilm Context triple: [Kenneth Branagh as Victor Frankenstein, coStarInFilm, Robert De Niro as the Creature]
-
A.
co-star
chosen
Indicates that two or more performers appear together in the same production, sharing significant acting roles.
-
B.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
C.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
D.
notableCoStarInWork
Indicates that two people are notable co-stars who appeared together in the same work (such as a film, series, or performance).
-
E.
developerOfWorkAppearingIn
Indicates that one entity is the creator or developer of a work in which another entity appears or is featured.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f4e888819097433271a2f45ff3 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.