Triple
T29893253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankenstein and the Monster from Hell |
E759208
|
entity |
| Predicate | monsterPortrayedBy |
P33556
|
FINISHED |
| Object | David Prowse |
—
|
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: David Prowse | Statement: [Frankenstein and the Monster from Hell, monsterPortrayedBy, David Prowse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monsterPortrayedBy Context triple: [Frankenstein and the Monster from Hell, monsterPortrayedBy, David Prowse]
-
A.
motherPortrayedBy
Indicates that a person’s mother is depicted or played by a particular actor or performer.
-
B.
portraysFictionalEntity
chosen
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
-
C.
monsterCharacteristic
Indicates that a monster possesses a particular attribute, trait, or quality.
-
D.
portrayedInAnimationBy
Indicates that an entity is represented or voiced in an animated work by a particular performer or creator.
-
E.
portrayedBySpeciesActor
Indicates that an entity is depicted or represented by an actor belonging to a particular species.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67728a5208190a43626fb4f5669c7 |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:03 p.m.